Fish and health with national fish promotion programme
This is an open assessment looking at potential health effects of a national fish promotion program in Finland. The details of the assessment are described at Opasnet. This file contains the R code to run the assessment model.
Knit to html for best performance.
Calculation is based on BONUS GOHERR project and its fish health benefit-risk assessment.
What has been done for PFAS assessment?
- Amount should be gender and age-specific, because we need to worry about young mothers. Solution: take KKE amounts of fish, and scale those with the Goherr subgroup-specific proportions. DONE. Not age-specific atm.
- Amounts should reflect the actual fish consumption in Porvoo. Solution: postpone and use national statistics. DONE
- Infant’s dioxin concentration module must be added. Solution: Use Goherr model for expo_indir DONE
- The module must be updated to match PFAS as well. Solution: update the module to contain column Exposure_agent. Change body fat parameter to volume of distribution. DONE but not checked.
- Find why expo_indir is so much higher than EFSA toxicokinetic assessment. Make an alternative model. Solution: problem was with too high absorption fractions, probably. DONE
- Add ERF for PFAS (sum of PFOS, PFHxS, PFOA, PFNA). Solution: Make a new page for ERF of PFAS and add that to adjusted ERFs. First immunology; postpone cholesterol and low birth weight and liver toxicity. DONE
- Add case burdens for PFAS outcomes. Solution: give rough estimates for immunology to get started. DONE
- Add PFAS concentrations to data. Solution: Look at Porvoo concentrations first and make conc_pfas; combine that with conc_vit. DONE
- Add dioxin and MeHg concentrations. DONE
- Now that the model runs technically, look through each part to check that it makes sense. DONE
- If PAF contains some inputs with Age and some without Age (implying that they apply to any age group), only the explicit age groups remain in the end. Solution: Add RRorig to compensate for this. DONE
- TEQ and MeHg are missing from dose. Check why and correct. DONE
- The proportions of All-cause mortality and CHD2 mortality are 3:1 in Kotimaisen kalan edistämisohjelma but 3:2 in this analysis. Why? Probably omega3-concentration is higher here. Solution: Consider double counting, should the overlap be handled in some way? Also, CHD2 mortality ERF is non-linear, and here these is no background intake. Solution: add background. DONE
- In exposure, ALA + DHA < Omega3. Why? Because the values come directly from Fineli and probably omega3 contains other fatty acids as well. DONE
- BoDattr: age group 45 - 50 is way smaller than any other group. Why? Solution: it’s the misplaces 5-9-year age group. DONE
- conc_mehg does not contain Iter although it is probabilistic. Solution: Update formula. DONE
- TEQ response for cancer morbidity is way too large. Why? Is there a unit problem? Let’s look at age group 45-49. BoD 3800, BoDattr 970, dose (Female) 188, CSF 0.0005, incidence 0.00657, population (Female) 154000. This makes case burden = BoD / I / P = 3800/0.00657/154000 = 3.7 DALY/case which is ten times higher than Goherr case burden 0.39 DALY/case. The reason is that the former is about life-time exposure while the latter is per one-year exposure, which is the correct way. The current PAF implies that 21 and 31 % of cancers in females and males, respectively are caused by TEQ in all age groups. That’s an artifact also from the lifetime vs yearly mismatch. DONE
- Related to cancer yearly-lifetime mismatch, also case burden must be corrected. No need, because data comes from InpBoD. DONE
- MeHg exposure is ca. 2 ug/d when you would assume 1 mg/kg * 0.03 kg/d = 30 ug/d. Where is the difference? Because average fish only 0.1 mg/kg. In addition, salmon is missing. DONE
- Sperm concentration and dental defect show fairly large BoD. This is because the ERFs have exposure units pg/g, while the exposure has pg/d. Solution: implement the expo_indir submodule. DONE
- Why is average fish so much higher with PFAS concentration than other fish species and the expectation? Because individual samples are accidentally summed, not bootstrapped. Solution: update formula for conc_pfas. DONE
- Incorrect levels(Age). DONE
- expo_indir for TEQ is still unrealistically high. Solution: adjust parameters lower. DONE
- RR has column Exposure: Direct. This is redundant? Well, it comes from dose (and from exposure). It makes no harm. DONE
- PAF of TEQ TWI is -7 and TWI 2018 is 2. How come? ERF, incidence, and case_burden seem to be OK. Solution: There are parentheses missing from formula of PAF. Corrected. DONE
- Take EFSA food database and derive Finnish fish consumption distributions. DONE
- Age group undefined should go to the respective ages. Solution: Exposure should be age-specific. Then “undefined” could be removed. Also, correct incidence not to contain “undefined”. DONE
- PFAS BoD (BoDattr?) TWI is 0. Why? Some people should exceed it. Or is it due to lack of variability? Solution: Not any more. I don’t know what changed. DONE
- TEQ sperm concentration effect is surprisingly large. Why? Solution: Probably was due to age group mismatch. Now seens OK. DONE
- Exposure graph should be age-specific. DONE
- Fish consumption graph should be age-specific. DONE
- Many graphs get numbers wrong when openv$N>1. Solution: use trim. DONE
- Breast cancer, Vitamin D recommendation, and depression go to positive side although they are benefits. Why? It is a plotly thing, as the bars continue from the previous bar and therefore stack in a strange way. Solution: use ggplot for publishable graphs. DONE
What still needs to be done?
- MeHg IQ effect is surprisingly large. Why? The exposure increased as salmon and rainbow trout concentrations became available, but still it is bigger than expected. PAF is 110 % so this cannot be. The reason is that the response is based on mother’s intake, and not it is allocated to the child. Solution: adjust exposure to match mother’s exposures.
- MeHg concentration is lognormal and logSD may be > 1.7, i.e. there may easily be >1000-fold concentration differences. Solution: there should be an upper limit for concentrations.
- All-cause and CHD mortality are double counting. Solution: subtract CHD from all-cause.
- Remove PFAS and dioxin TWI from the final graphs.
- Vitamin D goes to positive side although it is a benefit.
- Fish-specific concentrations are constants. Why?
objects.latest("Op_en2261", code_name="RR2") # RR on page [[Health impact assessment]]## Loading objects:
## RRRRorig <- RR@formula
RR@formula <- function(...) {
out <- RRorig()
out <- out * Ovariable(
output=data.frame(Age = ages, Result=1),
marginal=c(TRUE,FALSE)
)
return(out)
}
objects.latest("Op_en1836", code_name="EFSA_amount") # [[Domestic fish consumption of the general population in Finland]]## Loading objects:
## amountamountOrig <- amount@formula
amount@formula <- function(...) {
out <- amountOrig()
out <- out * fish_proportion
return(out)
}# This code was forked from https://github.com/jtuomist/fishhealth/blob/master/fishhealth.Rmd
# This code was previously forked from code Op_fi5923/model on page [[Kotimaisen kalan edistämisohjelma]]
# The code was even more previously forked from Op_fi5889/model on page [[Ruori]] and Op_en7748/model on page [[Goherr assessment]]
dat <- opbase.data("Op_fi5932", subset="Malliparametrit")[-1] # [[PFAS-yhdeisteiden tautitaakka]]
dec <- opbase.data("Op_fi5932", subset="Decisions")[-1]
DecisionTableParser(dec)
CTable <- opbase.data("Op_fi5932",subset="CollapseMarginals")
#for(i in 1:ncol(CTable)) {CTable[[i]] <- as.character(CTable[[i]])} # The default is currently character, not factor
CollapseTableParser(CTable)
cat("Laskennassa käytetty data.\n")## Laskennassa käytetty data.datcat("Tarkastellut päätökset.\n")## Tarkastellut päätökset.deccat("Aggregoidut marginaalit.\n")## Aggregoidut marginaalit.CTabledummy <- Ovariable("dummy",data=data.frame(Age="dummy", Fish="dummy", Compound="dummy", Area="dummy", Result=1)) # Keep these columns marginals
fish_proportion <- Ovariable( # How population subgroups eat fish differently
"fish_proportion",
data = data.frame(prepare(dat,"fish proportion",c("Type","Exposure_agent","Response","Unit"))),
unit="proportion of the mean")
total_amount <- Ovariable(
"total_amount",
data=prepare(dat, "amount", c("Type","Response","Exposure_agent","Unit")),
unit="M kg/a")
amount_statistics <- Ovariable( # This comes from the Finnish fish market statistics
"amount",
dependencies = data.frame(Name=c("total_amount", "fish_proportion")),
formula = function(...) {
amount <- total_amount
# Filleted weight, i.e. no loss.
amount <- amount * 1000 / 5.52 /365.25
# M kg/a per 5.52M population --> g/d per average person.
amount <- amount * fish_proportion
# fish_proportion tells the relative amount in each subgroup
# Match KKE-classification in amount with Fineli classification
tmp <- Ovariable(
output = data.frame(
Kala = c("Kasvatettu", "Kaupallinen", "Kirjolohi", "Silakka", "Vapaa-ajan", "Muu tuonti", "Tuontikirjolohi", "Tuontilohi"),
Fish = c("Whitefish", "Average fish","Rainbow trout", "Herring", "Average fish", "Average fish", "Rainbow trout", "Salmon"),
Result = 1
),
marginal = c(TRUE, TRUE, FALSE)
)
amount <- amount * tmp
return(amount)
},
unit="g/d"
)
# Exposure:To child and To eater not needed, because dioxins are not (yet) included
#amount <- EvalOutput(amount)
#amount_statistics <- EvalOutput(amount_statistics)
#ggplot(amount@output, aes(x=amountResult+0.1, colour=Group))+stat_ecdf()+
# facet_wrap(~Fish)+coord_cartesian(xlim=c(1,300))+
# scale_x_log10()
population <- Ovariable(
"population",
data=prepare(dat, "population", c("Type", "Exposure_agent", "Response","Unit")),
unit = "#"
)
population@data$Age <- factor(population@data$Age, levels=levels(ages))
incidence <- Ovariable(
"incidence",
data = prepare(dat,"incidence",c("Type","Exposure_agent","Unit")),
unit="1/person-year")
incidence@data$Age <- factor(incidence@data$Age, levels=levels(ages))
case_burden <- Ovariable(
"case_burden",
data = prepare(dat,"case burden",c("Type", "Exposure_agent","Unit")),
unit="DALY/case")
ERFchoice <- Ovariable(
"ERFchoice",
data =
prepare(dat, "ERFchoice", c("Unit", "Type"))
)
#### InpBoD
tmp <- prepare(dat, "BoD", c("Type","Exposure_agent","Unit"))
tmp[tmp=="All causes"] <- "All-cause mortality"
tmp[tmp=="Depressive disorders"] <- "Depression"
tmp[tmp=="Neoplasms"] <- "Cancer morbidity yearly"
tmp[tmp=="Respiratory infections and tuberculosis"] <- "Immunosuppression" # Infections of 0-9-year-olds are assumed to represent the background BoD of immunosuppressive effect of PFAS
tmp[tmp=="Cardiovascular diseases"] <- "CHD2 mortality"
tmp$Age <- factor(tmp$Age, levels=levels(ages))
InpBoD <- EvalOutput(Ovariable( # Evaluated because is not a dependency but an Input
"InpBoD",
data = tmp,
unit="DALY/a"
))conc_vit <- Ovariable(
"conc_vit",
ddata = "Op_en1838", # [[Concentrations of beneficial nutrients in fish]]
subset = "Fineli data for common fish species",
unit="ALA mg/g, DHA mg/g, Fish g/g, Omega3 mg/g, Vitamin D µg/g f.w. after adjustment"
)
df = conc_vit@data
df$Nutrient[df$Nutrient=="D-vitamiini (µg)"] <- "Vitamin D"
df$Nutrient[df$Nutrient=="rasvahapot n-3 moni-tyydyttymättömät (g)"] <- "Omega3"
df$Nutrient[df$Nutrient=="rasvahappo 18:3 n-3 (alfalinoleenihappo) (mg)"] <- "ALA"
df$Nutrient[df$Nutrient=="rasvahappo 22:6 n-3 (DHA) (mg)"] <- "DHA"
df$Nutrient[df$Nutrient=="proteiini (g)"] <- "Fish"
df$conc_vitResult[df$Nutrient=="Fish"] <- "1"
df <- dropall(df[df$Nutrient %in% c("Vitamin D", "Omega3", "ALA", "DHA", "Fish") , ])
conc_vit@data <- df
######## Concentration of PFAS
# Data from EU-kalat3 (Finland excl Vanhankaupunginlahti): # pg/g fresh weight
# POP mean sd min Q0.025 median Q0.975 max
# 2.5% PFOS 2055.757 1404.045 305.0399 330.1365 1533.269 5029.697 5814.935
# Data from EU-kalat3 (Vanhankaupunginlahti, Helsinki) # ng/g f.w.
# POP mean sd min Q0.025 median Q0.975 max
#2.5% PFOS 14.428 11.94542 1.499441 1.607789 15.64988 35.32517 38.91994
conc_eukalat <- EvalOutput(Ovariable(
"conc_eukalat",
data = data.frame(
Area = c("Suomi","Helsinki"),
Compound="PFOS",
Result=c("2.056 (3.301 - 5.030)", "14.428 (1.499 - 35.325)")),
unit="ng/g fresh weight"
))
conc_pfas_raw <- Ovariable(
"conc_pfas_raw",
ddata="Op_fi5932",subset="PFAS concentrations",
unit="ng/g f.w.")
conc_pfas <- Ovariable(
"conc_pfas",
dependencies = data.frame(Name="conc_pfas_raw"),
formula = function(...) {
out <- conc_pfas_raw
out$Source <- NULL
out$Area <- "Porvoo"
out <- expand_index(out, list(Fish=list(Perch=c(
"Average fish", "Pike","Rainbow trout","Roach", "Salmon", "Vendace", "Whitefish"))))
out <- out[sample(nrow(out@output)),]
out <- out[!duplicated(out@output[intersect(colnames(out@output),c("Fish","Compound","Iter"))]),]
out@marginal <- c(TRUE, TRUE, FALSE, TRUE, TRUE)
return(out)
},
unit="ng/g fresh weight"
)
#sum_pfas <- oapply(conc_pfas, cols=c("Kala","Compound"), FUN=sum)
#tmp <- conc_pfas / sum_pfas
#summary(tmp, marginals="Compound")
#
## This tells that PFOS consists of 71 - 97 % of the four key PFAS, while PFOA, PFNA, and PFHxS consist of
# 0 - 10 %, 2 - 18 %, and 0 - 9 %, respectively.
# Even if we included the next most abundant congeners, i.e. PFDA and PFUnA, the overall picture would not change.
conc <- Ovariable(
"conc",
dependencies = data.frame(
Name=c("conc_vit", "conc_pfas","conc_pcddf","conc_mehg"),
Ident = c(NA,NA,"Op_en3104/pcddf_mean","Op_en4004/conc_mehg_allfish")),
formula = function(...){
conc_vit <- oapply(conc_vit, cols=c("Kala", "Adjust"),FUN=mean)
colnames(conc_vit@output)[colnames(conc_vit@output)=="Nutrient"] <- "Compound"
# conc_pfas <- oapply(conc_pfas, cols=c("Obs","Area"), FUN=mean) # Redundant because handled already
conc_pfas$Compound[conc_pfas$Compound %in% c("PFOA","PFNA","PFHxS","PFOS")] <- "PFAS"
conc_pfas <- oapply(conc_pfas, cols="Area", FUN=sum) # Works because only one area
conc_pcddf$Compound <- "TEQ"
conc_pcddf$Fish[conc_pcddf$Fish=="Baltic herring"] <- "Herring"
conc_mehg <- oapply(conc_mehg[conc_mehg$Area=="Gulf of Finland",], NULL, mean, c("Area","Kala"))
conc_mehg$Compound <- "MeHg"
out <- OpasnetUtils::combine(conc_vit, conc_pfas, conc_pcddf, conc_mehg)
return(out)
}
)
conc_mehg <- Ovariable(
"conc_mehg",
dependencies = data.frame(Name="Hg", Ident="Op_en4004/Hg2"),
formula = function(...) {
out <- data.frame()
for(i in 1:nrow(Hg)) {
if(openv$N>1) {
tmp <- data.frame(
Iter=1:openv$N,
Result=10^rnorm(openv$N, Hg$MeanLog[i], Hg$SDLog[i])
)
} else {
tmp <- data.frame(Result = 10^out$Hg$MeanLog[i])
}
out <- rbind(out,
data.frame(Area=as.character(Hg$Area[i]),
Kala=as.character(Hg$Kala[i]),
tmp
)
)
}
out <- Ovariable(output=out, marginal=colnames(out) != "Result") *
Ovariable(
output = data.frame(
Kala = c("ahven","hauki","kampela","kilkki","kirjolohi","lahna","lohi","made","silakka","simput (Cottus sp.)",
"särki","turska","vaellussiika","härkäsimppu","kilohaili","kuha","pasuri"),
Fish = c("Perch","Pike","Flounder","Chaetiliidae","Rainbow trout","Bream","Salmon","Burbot","Herring","Cottidae",
"Roach","Average fish","Whitefish","Fourhorn sculpin","Sprat","Pike-perch","White bream"),
Result = 1
),
marginal=c(TRUE,TRUE,FALSE)
)
return(out)
},
unit = "ug/g fresh weight"
)
#conc <- EvalOutput(conc, verbose=TRUE)
#View(conc@output)
#View(conc_pcddf@output)
#View(conc_mehg@output)###################################################################
# Code copied from http://en.opasnet.org/w/Goherr_assessment#
mc2dparam<- list(
N2 = 10, # Number of iterations in the new Iter
strength = 50, # Sample size to which the fun is to be applied. Resembles number of observations
run2d = FALSE, # Should the mc2d function be used or not?
info = 1, # Ovariable that contains additional indices, e.g. newmarginals.
newmarginals = c("Exposure"), # Names of columns that are non-marginals but should be sampled enough to become marginals
method = "bootstrap", # which method to use for 2D Monte Carlo? Currently bootsrap is the only option.
fun = mean # Function for aggregating the first Iter dimension.
)
expo_background <- Ovariable(
"expo_background",
data = prepare(dat, "background exposure", c("Type","Response","Unit")),
unit = "Vitamin D: µg /day; DHA, EPA, Omega3: mg /day"
)
expo_dir <- Ovariable(
"expo_dir",
dependencies=data.frame(Name=c("amount","conc","expo_background")),
formula = function(...) {
amount$Fish[amount$Fish %in% c("Imported fish","Fish product","Tuna")] <- "Average fish"
amount <- amount * Ovariable(output=data.frame(
Age = ages[-19],
Group = c("Toddlers","Other children",rep("Adolescents",2), rep("Adults",9), rep("Elderly",5)),
Result = 1
),
marginal=c(TRUE,TRUE,FALSE))
out <- amount * conc
colnames(out@output)[colnames(out@output)=="Compound"] <- "Exposure_agent"
out <- OpasnetUtils::combine(out, expo_background)
# out <- out * Ovariable(output = data.frame(Age=ages[-19], Result=1), marginal=c(TRUE,FALSE))
return(out)
},
unit = "PCDDF, PCB, TEQ: pg /day; Vitamin D, MeHg: µg /day; DHA, EPA, Omega3: mg /day"
)
#expo_dir <- EvalOutput(expo_dir, verbose=TRUE)
exposure <- Ovariable(
"exposure",
dependencies = data.frame(
Name = c(
"expo_dir", # direct exposure, i.e. the person eats or breaths the exposure agent themself
"expo_indir", # indirect exposure, i.e. the person (typically fetus or infant) is exposed via someone else (mother)
"mc2d" # 2D Monte Carlo function
),
Ident = c(
NA,
"Op_en7797/expo_indir2", # [[Infant's dioxin exposure]] # expo_indir
"Op_en7805/mc2d") # [[Two-dimensional Monte Carlo]]
),
formula = function(...) {
expo_indir <- expo_indir[expo_indir$Gender =="Female",] # Age must be selected too, if available, and then collapsed if >1 location.
expo_indir$Gender <- NULL
expo_indir <- expo_indir[expo_indir$Age %in% c("20 - 24","25 - 29", "30 - 34", "35 - 39", "40 - 44"),]
expo_indir <- CollapseMarginal(expo_indir, "Age", "mean") # "sample" is not possible if openv$N==0
expo_indir$Age <- "0 - 4"
expo_dir$Exposure <- "Direct"
out <- OpasnetUtils::combine(expo_dir, expo_indir)
out <- mc2d(out)
return(out)
},
unit = "PCDDF, PCB, TEQ: (To eater: pg /day; to child: pg /g fat); Vitamin D, MeHg: µg /day; DHA, EPA, Omega3: mg /day"
)
#oempty(c("expo_background", "expo_dir","expo_indir","exposure"))
#exposure <- EvalOutput(exposure, verbose=TRUE)
#View(exposure@output)objects.latest("Op_en2261",code_name="BoDattr2") # [[Health impact assessment]]## Loading objects:
## BoDattrtryCatch(BoDattr <- EvalOutput(BoDattr, verbose=TRUE))## Evaluating BoDattr ...
##
## - BoD fetched successfully!
##
## - PAF fetched successfully!
## - Evaluating BoD ...
## - - Evaluating incidence ...
##
## done(0.01 secs)!
## - - Checking incidence marginals ... Response, Age, incidenceSource recognized as marginal(s).
## - - Processing incidence decisions ... done!
## - - Evaluating case_burden ...
##
## done(0.01 secs)!
## - - Checking case_burden marginals ... Response, Iter, case_burdenSource recognized as marginal(s).
## - - Processing case_burden marginal collapses ... done!
## - - Evaluating population ...
##
## done(0 secs)!
## - - Checking population marginals ... Gender, Age, populationSource recognized as marginal(s).
##
## - done(0.76 secs)!
## - Checking BoD marginals ... Response, Age, incidenceSource, Adjust, Gender, populationSource, Iter, BoDSource recognized as marginal(s).
## - Processing BoD inputs ... done!
## - Processing BoD marginal collapses ...## Warning in oapply(variable, FUN = fun[[i]], cols = cols[[i]], na.rm = TRUE):
## While oapplying BoD, found NAs in indices: Adjust, InpBoDSource. They were
## automatically filled using fillna, which may result in a multiplied population.
## Please check your ovariable before using oapply.## done!
## - Processing BoD decisions ... done!
## - Evaluating PAF ...
##
## - - dose fetched successfully!
##
## - - ERF fetched successfully!
##
## - - frexposed fetched successfully!
##
## - - P_illness fetched successfully!
##
## - - sumExposcen fetched successfully!
##
## - - mc2d fetched successfully!
## - - Evaluating dose ...
##
## - - - BW fetched successfully!
## - - - Evaluating exposure ...
##
## - - - - expo_indir fetched successfully!
## - - - - Evaluating expo_dir ...
## - - - - - Evaluating amount ...
## - - - - - - Evaluating dummy ...
##
## done(0 secs)!
## - - - - - - Checking dummy marginals ... Age, Fish, Compound, Area, dummySource recognized as marginal(s).
##
## ----- done(1.71 secs)!
## - - - - - Checking amount marginals ... Food, Iter, Group, Fish, Gender, fish_proportionSource, amountSource recognized as marginal(s).
## - - - - - Processing amount marginal collapses ... done!
## - - - - - Evaluating conc ...
##
## - - - - - - conc_pcddf fetched successfully!
## - - - - - - Evaluating conc_vit ...
##
## done(0.1 secs)!
## - - - - - - Checking conc_vit marginals ... Kala, Fish, Nutrient, Iter, conc_vitSource recognized as marginal(s).
## - - - - - - Processing conc_vit decisions ... done!
## - - - - - - Evaluating conc_pfas ...
## - - - - - - - Evaluating conc_pfas_raw ...
##
## done(0.07 secs)!
## - - - - - - - Checking conc_pfas_raw marginals ... Fish, Compound, Iter, conc_pfas_rawSource recognized as marginal(s).
##
## ------ done(2.22 secs)!
## - - - - - - Checking conc_pfas marginals ... Fish, Compound, Iter, conc_pfas_rawSource, Area, conc_pfasSource recognized as marginal(s).
## - - - - - - Processing conc_pfas marginal collapses ... done!
## - - - - - - Evaluating conc_pcddf ...
##
## - - - - - - - TEF fetched successfully!
## - - - - - - - Evaluating TEF ...
##
## - - - - - - - - TEFversion fetched successfully!
## - - - - - - - - Evaluating TEFraw ...
##
## done(0.01 secs)!
## - - - - - - - - Checking TEFraw marginals ... Group, Compound, TEFversion, TEFrawSource recognized as marginal(s).
##
## ------- done(23.95 secs)!
## - - - - - - - Checking TEF marginals ... Compound, Group, TEFversion, TEFrawSource, TEFSource recognized as marginal(s).
##
## ------ done(1.05 mins)!
## - - - - - - Checking conc_pcddf marginals ... Fish, conc_pcddfSource recognized as marginal(s).
## - - - - - - Evaluating conc_mehg ...
##
## - - - - - - - Hg fetched successfully!## Warning in rnorm(openv$N, Hg$MeanLog[i], Hg$SDLog[i]): NAs produced## Warning in rnorm(openv$N, Hg$MeanLog[i], Hg$SDLog[i]): NAs produced## ------ done(27.69 secs)!
## - - - - - - Checking conc_mehg marginals ... Area, Kala, Iter, Fish, conc_mehgSource recognized as marginal(s).
##
## ----- done(2.07 mins)!
## - - - - - Checking conc marginals ... Fish, Compound, Iter, concSource recognized as marginal(s).
## - - - - - Evaluating expo_background ...
##
## done(0.01 secs)!
## - - - - - Checking expo_background marginals ... Exposure_agent, Gender, Iter, expo_backgroundSource recognized as marginal(s).
##
## ---- done(2.39 mins)!
## - - - - Checking expo_dir marginals ... Iter, Group, Fish, Gender, fish_proportionSource, amountSource, Age, Exposure_agent, concSource, expo_dirSource recognized as marginal(s).
## - - - - Processing expo_dir marginal collapses ...## Warning in oapply(variable, FUN = fun[[i]], cols = cols[[i]], na.rm = TRUE):
## While oapplying expo_dir, found NAs in indices: Age. They were automatically
## filled using fillna, which may result in a multiplied population. Please check
## your ovariable before using oapply.## done!
## - - - - Evaluating expo_indir ...
## - - - - - Processing expo_dir marginal collapses ... done!
## - - - - - Evaluating t0.5 ...
##
## done(0.01 secs)!
## - - - - - Checking t0.5 marginals ... Exposure_agent, Iter, t0.5Source recognized as marginal(s).
## - - - - - Evaluating f_ing ...
##
## done(0 secs)!
## - - - - - Checking f_ing marginals ... Exposure_agent, Iter, f_ingSource recognized as marginal(s).
## - - - - - Evaluating f_mtoc ...
##
## done(0 secs)!
## - - - - - Checking f_mtoc marginals ... Exposure_agent, Iter, f_mtocSource recognized as marginal(s).
## - - - - - Evaluating BF ...
##
## done(0 secs)!
## - - - - - Checking BF marginals ... Exposure_agent, BFSource recognized as marginal(s).
##
## ---- done(4.87 secs)!
## - - - - Checking expo_indir marginals ... Iter, Gender, Age, Exposure_agent, expo_dirSource, f_ingSource, t0.5Source, f_mtocSource, BFSource, Exposure, expo_indirSource recognized as marginal(s).
## - - - - Processing expo_indir marginal collapses ... done!
##
## --- done(3.23 mins)!
## - - - Checking exposure marginals ... Iter, Gender, Age, Exposure_agent, Exposure, expo_dirSource, exposureSource recognized as marginal(s).
## - - - Processing exposure marginal collapses ...## Warning in oapply(variable, FUN = fun[[i]], cols = cols[[i]], na.rm = TRUE):
## While oapplying exposure, found NAs in indices: Gender. They were automatically
## filled using fillna, which may result in a multiplied population. Please check
## your ovariable before using oapply.## done!
## - - - Evaluating BW ...
##
## done(0 secs)!
## - - - Checking BW marginals ... BWSource recognized as marginal(s).
##
## -- done(3.7 mins)!
## - - Checking dose marginals ... Iter, Gender, Age, Exposure_agent, Exposure, Scaling, exposureSource, BWSource, doseSource recognized as marginal(s).
## - - Processing dose marginal collapses ... done!
## - - Evaluating ERF ...
##
## - - - ERF_env fetched successfully!
##
## - - - ERF_omega3 fetched successfully!
##
## - - - ERF_mehg fetched successfully!
##
## - - - ERF_diox fetched successfully!
##
## - - - ERF_vit fetched successfully!
##
## - - - ERF_micr fetched successfully!
##
## - - - ERF_pfas fetched successfully!
## - - - Evaluating ERF_env ...
##
## done(0.08 secs)!
## - - - Checking ERF_env marginals ... Exposure_agent, Response, Subgroup, Exposure, ER_function, Scaling, Exposure_unit, Observation, Iter, ERF_envSource recognized as marginal(s).
## - - - Evaluating ERF_omega3 ...
##
## done(0.03 secs)!
## - - - Checking ERF_omega3 marginals ... Exposure_agent, Response, Exposure, Exposure_unit, ER_function, Scaling, Observation, Iter, ERF_omega3Source recognized as marginal(s).
## - - - Evaluating ERF_mehg ...
##
## done(0.01 secs)!
## - - - Checking ERF_mehg marginals ... Exposure_agent, Response, Exposure, Exposure_unit, ER_function, Scaling, Observation, Iter, ERF_mehgSource recognized as marginal(s).
## - - - Evaluating ERF_diox ...
##
## done(0.02 secs)!
## - - - Checking ERF_diox marginals ... Exposure_agent, Response, Exposure, Exposure_unit, ER_function, Scaling, Observation, Iter, ERF_dioxSource recognized as marginal(s).
## - - - Evaluating ERF_vit ...
##
## done(0 secs)!
## - - - Checking ERF_vit marginals ... Exposure_agent, Response, Exposure, Exposure_unit, ER_function, Scaling, Observation, ERF_vitSource recognized as marginal(s).
## - - - Evaluating ERF_micr ...
##
## done(0 secs)!
## - - - Checking ERF_micr marginals ... Exposure_agent, Response, Exposure, Exposure_unit, ER_function, Scaling, Observation, ERF_micrSource recognized as marginal(s).
## - - - Evaluating ERF_pfas ...
##
## done(0 secs)!
## - - - Checking ERF_pfas marginals ... Exposure_agent, Response, Exposure, Exposure_unit, ER_function, Scaling, Observation, ERF_pfasSource recognized as marginal(s).
## - - - Evaluating ERFchoice ...
##
## done(0 secs)!
## - - - Checking ERFchoice marginals ... Exposure_agent, Response, Scaling, Exposure, ER_function, ERFchoiceSource recognized as marginal(s).
##
## -- done(3.09 mins)!
## - - Checking ERF marginals ... Exposure_agent, Response, Exposure, ER_function, Scaling, Observation, Iter, ERFSource recognized as marginal(s).
## - - Processing ERF marginal collapses ... done!
## - - Evaluating RR ...
## - - - Processing dose marginal collapses ... done!
## - - - Processing ERF marginal collapses ... done!
##
## -- done(52.66 secs)!
## - - Checking RR marginals ... Exposure_agent, Response, ER_function, Scaling, Iter, ERFSource, Gender, Age, Exposure, doseSource, RRSource recognized as marginal(s).
## - - Evaluating frexposed ...
##
## done(0 secs)!
## - - Checking frexposed marginals ... frexposedSource recognized as marginal(s).
## - - Evaluating P_illness ...
##
## done(0 secs)!
## - - Checking P_illness marginals ... Response, Illness, Age, P_illnessSource recognized as marginal(s).
##
## - done(11.25 mins)!
## - Checking PAF marginals ... Exposure_agent, Response, ER_function, Scaling, Iter, ERFSource, Gender, Age, Exposure, doseSource, frexposedSource, incidenceSource, Adjust, RRSource, PAFSource recognized as marginal(s).
## - Processing PAF marginal collapses ...## Warning in oapply(variable, FUN = fun[[i]], cols = cols[[i]], na.rm = TRUE):
## While oapplying PAF, found NAs in indices: Adjust. They were automatically
## filled using fillna, which may result in a multiplied population. Please check
## your ovariable before using oapply.## done!
##
## done(12.62 mins)!
## Checking BoDattr marginals ... Adjust, Response, Age, Gender, Iter, InpBoDSource, Exposure_agent, PAFSource, BoDattrSource recognized as marginal(s).BoDattr$Age <- factor(BoDattr$Age, levels=levels(ages))
tst <- BoDattr[BoDattr$Response=="CHD2 mortality",] * -1
tst$Response <- "All-cause mortality"
tst <- OpasnetUtils::combine(BoDattr, tst, name = "BoDattr")oprint(summary(amount,"mean"))## Group Fish Gender mean
## 1 Elderly Bream Female 0.07310000
## 2 Other children Bream Female 0.02125000
## 3 Adolescents Fish product Female 10.03239193
## 4 Adults Fish product Female 9.68891209
## 5 Elderly Fish product Female 13.54361847
## 6 Infants Fish product Female 0.32917881
## 7 Other children Fish product Female 12.01013046
## 8 Toddlers Fish product Female 2.91654229
## 9 Adolescents Flounder Female 0.04675000
## 10 Adults Flounder Female 0.15312521
## 11 Infants Flounder Female 0.06344377
## 12 Other children Flounder Female 0.03953492
## 13 Toddlers Flounder Female 0.03331799
## 14 Adolescents Herring Female 0.30063704
## 15 Adults Herring Female 0.82153806
## 16 Elderly Herring Female 2.53177575
## 17 Infants Herring Female 0.00425000
## 18 Other children Herring Female 0.23244724
## 19 Toddlers Herring Female 0.06290565
## 20 Adolescents Imported fish Female 0.02915649
## 21 Adults Imported fish Female 0.87277057
## 22 Elderly Imported fish Female 0.98544293
## 23 Other children Imported fish Female 0.83097009
## 24 Toddlers Imported fish Female 0.31018711
## 25 Adolescents Perch Female 0.07735000
## 26 Adults Perch Female 0.28340779
## 27 Elderly Perch Female 0.70761299
## 28 Infants Perch Female 0.00340000
## 29 Other children Perch Female 0.20077449
## 30 Toddlers Perch Female 0.03904384
## 31 Adolescents Salmon Female 6.55818983
## 32 Adults Salmon Female 10.30522875
## 33 Elderly Salmon Female 14.76496224
## 34 Infants Salmon Female 0.24475105
## 35 Other children Salmon Female 3.73026532
## 36 Toddlers Salmon Female 2.38253281
## 37 Adolescents Tuna Female 0.53789148
## 38 Adults Tuna Female 2.79320966
## 39 Elderly Tuna Female 1.29878515
## 40 Other children Tuna Female 0.60739863
## 41 Toddlers Tuna Female 0.04377803
## 42 Adolescents Whitefish Female 0.15587904
## 43 Adults Whitefish Female 3.18852976
## 44 Elderly Whitefish Female 2.57402181
## 45 Other children Whitefish Female 0.13742324
## 46 Toddlers Whitefish Female 0.04623433
## 47 Elderly Bream Male 0.09890000
## 48 Other children Bream Male 0.02875000
## 49 Adolescents Fish product Male 13.57323614
## 50 Adults Fish product Male 13.10852812
## 51 Elderly Fish product Male 18.32371911
## 52 Infants Fish product Male 0.44535957
## 53 Other children Fish product Male 16.24900004
## 54 Toddlers Fish product Male 3.94591016
## 55 Adolescents Flounder Male 0.06325000
## 56 Adults Flounder Male 0.20716941
## 57 Infants Flounder Male 0.08583568
## 58 Other children Flounder Male 0.05348842
## 59 Toddlers Flounder Male 0.04507728
## 60 Adolescents Herring Male 0.40674423
## 61 Adults Herring Male 1.11149267
## 62 Elderly Herring Male 3.42534367
## 63 Infants Herring Male 0.00575000
## 64 Other children Herring Male 0.31448744
## 65 Toddlers Herring Male 0.08510765
## 66 Adolescents Imported fish Male 0.03944701
## 67 Adults Imported fish Male 1.18080724
## 68 Elderly Imported fish Male 1.33324631
## 69 Other children Imported fish Male 1.12425366
## 70 Toddlers Imported fish Male 0.41966491
## 71 Adolescents Perch Male 0.10465000
## 72 Adults Perch Male 0.38343407
## 73 Elderly Perch Male 0.95735875
## 74 Infants Perch Male 0.00460000
## 75 Other children Perch Male 0.27163608
## 76 Toddlers Perch Male 0.05282402
## 77 Adolescents Salmon Male 8.87284506
## 78 Adults Salmon Male 13.94236831
## 79 Elderly Salmon Male 19.97612539
## 80 Infants Salmon Male 0.33113377
## 81 Other children Salmon Male 5.04682956
## 82 Toddlers Salmon Male 3.22342675
## 83 Adolescents Tuna Male 0.72773554
## 84 Adults Tuna Male 3.77904837
## 85 Elderly Tuna Male 1.75717991
## 86 Other children Tuna Male 0.82177461
## 87 Toddlers Tuna Male 0.05922909
## 88 Adolescents Whitefish Male 0.21089518
## 89 Adults Whitefish Male 4.31389320
## 90 Elderly Whitefish Male 3.48250009
## 91 Other children Whitefish Male 0.18592557
## 92 Toddlers Whitefish Male 0.06255233oprint(summary(BoD,marginals=c("Age","Response"),"mean"))## Age Response mean
## 1 0 - 4 Cancer morbidity yearly 3.102639e+02
## 2 10 - 14 Cancer morbidity yearly 3.471589e+02
## 3 15 - 19 Cancer morbidity yearly 4.155185e+02
## 4 20 - 24 Cancer morbidity yearly 5.688098e+02
## 5 25 - 29 Cancer morbidity yearly 7.967250e+02
## 6 30 - 34 Cancer morbidity yearly 1.146693e+03
## 7 35 - 39 Cancer morbidity yearly 1.678742e+03
## 8 40 - 44 Cancer morbidity yearly 2.450202e+03
## 9 45 - 49 Cancer morbidity yearly 3.846950e+03
## 10 5 - 9 Cancer morbidity yearly 3.441288e+02
## 11 50 - 54 Cancer morbidity yearly 6.981211e+03
## 12 55 - 59 Cancer morbidity yearly 1.124565e+04
## 13 60 - 64 Cancer morbidity yearly 1.634208e+04
## 14 65 - 69 Cancer morbidity yearly 2.187666e+04
## 15 70 - 74 Cancer morbidity yearly 2.555144e+04
## 16 75 - 79 Cancer morbidity yearly 1.800670e+04
## 17 80 - 84 Cancer morbidity yearly 1.465322e+04
## 18 85+ Cancer morbidity yearly 1.196704e+04
## 19 0 - 4 Dioxin recommendation tolerable daily intake 3.088021e+01
## 20 10 - 14 Dioxin recommendation tolerable daily intake 3.726333e+01
## 21 15 - 19 Dioxin recommendation tolerable daily intake 3.579681e+01
## 22 20 - 24 Dioxin recommendation tolerable daily intake 3.788100e+01
## 23 25 - 29 Dioxin recommendation tolerable daily intake 4.291754e+01
## 24 30 - 34 Dioxin recommendation tolerable daily intake 4.232425e+01
## 25 35 - 39 Dioxin recommendation tolerable daily intake 4.353255e+01
## 26 40 - 44 Dioxin recommendation tolerable daily intake 4.180625e+01
## 27 45 - 49 Dioxin recommendation tolerable daily intake 3.793277e+01
## 28 5 - 9 Dioxin recommendation tolerable daily intake 3.695710e+01
## 29 50 - 54 Dioxin recommendation tolerable daily intake 4.293069e+01
## 30 55 - 59 Dioxin recommendation tolerable daily intake 4.450858e+01
## 31 60 - 64 Dioxin recommendation tolerable daily intake 4.339222e+01
## 32 65 - 69 Dioxin recommendation tolerable daily intake 4.307138e+01
## 33 70 - 74 Dioxin recommendation tolerable daily intake 4.219912e+01
## 34 75 - 79 Dioxin recommendation tolerable daily intake 2.560163e+01
## 35 80 - 84 Dioxin recommendation tolerable daily intake 1.947431e+01
## 36 85+ Dioxin recommendation tolerable daily intake 1.822112e+01
## 37 Undefined Dioxin recommendation tolerable daily intake 6.666909e+02
## 38 0 - 4 Dioxin recommendation tolerable daily intake 2018 8.414927e+01
## 39 10 - 14 Dioxin recommendation tolerable daily intake 2018 1.015434e+02
## 40 15 - 19 Dioxin recommendation tolerable daily intake 2018 9.754712e+01
## 41 20 - 24 Dioxin recommendation tolerable daily intake 2018 1.032266e+02
## 42 25 - 29 Dioxin recommendation tolerable daily intake 2018 1.169513e+02
## 43 30 - 34 Dioxin recommendation tolerable daily intake 2018 1.153345e+02
## 44 35 - 39 Dioxin recommendation tolerable daily intake 2018 1.186272e+02
## 45 40 - 44 Dioxin recommendation tolerable daily intake 2018 1.139230e+02
## 46 45 - 49 Dioxin recommendation tolerable daily intake 2018 1.033676e+02
## 47 5 - 9 Dioxin recommendation tolerable daily intake 2018 1.007089e+02
## 48 50 - 54 Dioxin recommendation tolerable daily intake 2018 1.169871e+02
## 49 55 - 59 Dioxin recommendation tolerable daily intake 2018 1.212869e+02
## 50 60 - 64 Dioxin recommendation tolerable daily intake 2018 1.182448e+02
## 51 65 - 69 Dioxin recommendation tolerable daily intake 2018 1.173705e+02
## 52 70 - 74 Dioxin recommendation tolerable daily intake 2018 1.149936e+02
## 53 75 - 79 Dioxin recommendation tolerable daily intake 2018 6.976501e+01
## 54 80 - 84 Dioxin recommendation tolerable daily intake 2018 5.306793e+01
## 55 85+ Dioxin recommendation tolerable daily intake 2018 4.965295e+01
## 56 Undefined Dioxin recommendation tolerable daily intake 2018 1.816748e+03
## 57 0 - 4 Immunosuppression 3.024113e+02
## 58 5 - 9 Immunosuppression 2.715484e+02
## 59 0 - 4 Loss in child's IQ points 1.694833e+04
## 60 0 - 4 PFAS TWI 2.827461e+02
## 61 10 - 14 PFAS TWI 3.411914e+02
## 62 15 - 19 PFAS TWI 3.277636e+02
## 63 20 - 24 PFAS TWI 3.468469e+02
## 64 25 - 29 PFAS TWI 3.929626e+02
## 65 30 - 34 PFAS TWI 3.875302e+02
## 66 35 - 39 PFAS TWI 3.985938e+02
## 67 40 - 44 PFAS TWI 3.827873e+02
## 68 45 - 49 PFAS TWI 3.473209e+02
## 69 5 - 9 PFAS TWI 3.383874e+02
## 70 50 - 54 PFAS TWI 3.930830e+02
## 71 55 - 59 PFAS TWI 4.075305e+02
## 72 60 - 64 PFAS TWI 3.973089e+02
## 73 65 - 69 PFAS TWI 3.943712e+02
## 74 70 - 74 PFAS TWI 3.863846e+02
## 75 75 - 79 PFAS TWI 2.344142e+02
## 76 80 - 84 PFAS TWI 1.783111e+02
## 77 85+ PFAS TWI 1.668366e+02
## 78 Undefined PFAS TWI 6.104370e+03
## 79 0 - 4 Sperm concentration 4.428657e+03
## 80 0 - 4 Vitamin D recommendation 6.203907e+01
## 81 10 - 14 Vitamin D recommendation 7.486292e+01
## 82 15 - 19 Vitamin D recommendation 7.191664e+01
## 83 20 - 24 Vitamin D recommendation 7.610382e+01
## 84 25 - 29 Vitamin D recommendation 8.622235e+01
## 85 30 - 34 Vitamin D recommendation 8.503041e+01
## 86 35 - 39 Vitamin D recommendation 8.745792e+01
## 87 40 - 44 Vitamin D recommendation 8.398973e+01
## 88 45 - 49 Vitamin D recommendation 7.620782e+01
## 89 5 - 9 Vitamin D recommendation 7.424767e+01
## 90 50 - 54 Vitamin D recommendation 8.624877e+01
## 91 55 - 59 Vitamin D recommendation 8.941879e+01
## 92 60 - 64 Vitamin D recommendation 8.717600e+01
## 93 65 - 69 Vitamin D recommendation 8.653142e+01
## 94 70 - 74 Vitamin D recommendation 8.477903e+01
## 95 75 - 79 Vitamin D recommendation 5.143427e+01
## 96 80 - 84 Vitamin D recommendation 3.912434e+01
## 97 85+ Vitamin D recommendation 3.660665e+01
## 98 Undefined Vitamin D recommendation 1.339398e+03
## 99 0 - 4 Yes or no dental defect 3.445681e+02
## 100 0 - 4 All-cause mortality 4.882678e+03
## 101 10 - 14 All-cause mortality 1.086325e+03
## 102 15 - 19 All-cause mortality 2.966719e+03
## 103 20 - 24 All-cause mortality 5.275181e+03
## 104 25 - 29 All-cause mortality 6.264269e+03
## 105 30 - 34 All-cause mortality 6.710701e+03
## 106 35 - 39 All-cause mortality 8.275831e+03
## 107 40 - 44 All-cause mortality 1.022931e+04
## 108 45 - 49 All-cause mortality 1.369141e+04
## 109 5 - 9 All-cause mortality 9.310611e+02
## 110 50 - 54 All-cause mortality 2.132050e+04
## 111 55 - 59 All-cause mortality 2.983913e+04
## 112 60 - 64 All-cause mortality 3.921433e+04
## 113 65 - 69 All-cause mortality 4.929973e+04
## 114 70 - 74 All-cause mortality 5.979016e+04
## 115 75 - 79 All-cause mortality 4.944779e+04
## 116 80 - 84 All-cause mortality 5.195164e+04
## 117 85+ All-cause mortality 6.952864e+04
## 118 0 - 4 Depression 4.476772e-01
## 119 10 - 14 Depression 5.846342e+02
## 120 15 - 19 Depression 1.307743e+03
## 121 20 - 24 Depression 1.825022e+03
## 122 25 - 29 Depression 1.812272e+03
## 123 30 - 34 Depression 1.603272e+03
## 124 35 - 39 Depression 1.717558e+03
## 125 40 - 44 Depression 1.701713e+03
## 126 45 - 49 Depression 1.536503e+03
## 127 5 - 9 Depression 7.944539e+01
## 128 50 - 54 Depression 1.722057e+03
## 129 55 - 59 Depression 1.762131e+03
## 130 60 - 64 Depression 1.694530e+03
## 131 65 - 69 Depression 1.551205e+03
## 132 70 - 74 Depression 1.424708e+03
## 133 75 - 79 Depression 7.936395e+02
## 134 80 - 84 Depression 5.813108e+02
## 135 85+ Depression 5.511287e+02
## 136 0 - 4 CHD2 mortality 5.330556e+01
## 137 10 - 14 CHD2 mortality 7.548896e+01
## 138 15 - 19 CHD2 mortality 1.461496e+02
## 139 20 - 24 CHD2 mortality 2.541203e+02
## 140 25 - 29 CHD2 mortality 4.384905e+02
## 141 30 - 34 CHD2 mortality 6.382844e+02
## 142 35 - 39 CHD2 mortality 1.168969e+03
## 143 40 - 44 CHD2 mortality 1.977620e+03
## 144 45 - 49 CHD2 mortality 3.114102e+03
## 145 5 - 9 CHD2 mortality 4.872613e+01
## 146 50 - 54 CHD2 mortality 5.473365e+03
## 147 55 - 59 CHD2 mortality 8.741711e+03
## 148 60 - 64 CHD2 mortality 1.306399e+04
## 149 65 - 69 CHD2 mortality 1.811567e+04
## 150 70 - 74 CHD2 mortality 2.453937e+04
## 151 75 - 79 CHD2 mortality 2.340159e+04
## 152 80 - 84 CHD2 mortality 2.792111e+04
## 153 85+ CHD2 mortality 4.182868e+04
## 154 15 - 19 Breast cancer 2.061577e+00
## 155 20 - 24 Breast cancer 7.838659e+00
## 156 25 - 29 Breast cancer 3.660033e+01
## 157 30 - 34 Breast cancer 1.455554e+02
## 158 35 - 39 Breast cancer 2.649923e+02
## 159 40 - 44 Breast cancer 4.313909e+02
## 160 45 - 49 Breast cancer 7.064921e+02
## 161 50 - 54 Breast cancer 1.043878e+03
## 162 55 - 59 Breast cancer 1.342853e+03
## 163 60 - 64 Breast cancer 1.523321e+03
## 164 65 - 69 Breast cancer 1.653962e+03
## 165 70 - 74 Breast cancer 1.673425e+03
## 166 75 - 79 Breast cancer 1.235337e+03
## 167 80 - 84 Breast cancer 9.479436e+02
## 168 85+ Breast cancer 8.755721e+02oprint(summary(BoDattr,marginals=c("Age","Response"),"mean"))## Age Response mean
## 1 0 - 4 Cancer morbidity yearly 6.894085e-01
## 2 5 - 9 Cancer morbidity yearly 8.169153e-01
## 3 10 - 14 Cancer morbidity yearly 1.445137e+00
## 4 15 - 19 Cancer morbidity yearly 1.754437e+00
## 5 20 - 24 Cancer morbidity yearly 4.663839e+00
## 6 25 - 29 Cancer morbidity yearly 6.506471e+00
## 7 30 - 34 Cancer morbidity yearly 9.186651e+00
## 8 35 - 39 Cancer morbidity yearly 1.353225e+01
## 9 40 - 44 Cancer morbidity yearly 1.957787e+01
## 10 45 - 49 Cancer morbidity yearly 3.046821e+01
## 11 50 - 54 Cancer morbidity yearly 5.636304e+01
## 12 55 - 59 Cancer morbidity yearly 9.222244e+01
## 13 60 - 64 Cancer morbidity yearly 1.342997e+02
## 14 65 - 69 Cancer morbidity yearly 3.203521e+02
## 15 70 - 74 Cancer morbidity yearly 3.754101e+02
## 16 75 - 79 Cancer morbidity yearly 2.612220e+02
## 17 80 - 84 Cancer morbidity yearly 2.111356e+02
## 18 85+ Cancer morbidity yearly 1.694984e+02
## 19 0 - 4 Dioxin recommendation tolerable daily intake 2018 1.307113e+02
## 20 5 - 9 Dioxin recommendation tolerable daily intake 2018 7.752637e+01
## 21 10 - 14 Dioxin recommendation tolerable daily intake 2018 8.403418e+01
## 22 15 - 19 Dioxin recommendation tolerable daily intake 2018 8.072697e+01
## 23 20 - 24 Dioxin recommendation tolerable daily intake 2018 7.946513e+01
## 24 25 - 29 Dioxin recommendation tolerable daily intake 2018 9.003056e+01
## 25 30 - 34 Dioxin recommendation tolerable daily intake 2018 8.878598e+01
## 26 35 - 39 Dioxin recommendation tolerable daily intake 2018 9.132071e+01
## 27 40 - 44 Dioxin recommendation tolerable daily intake 2018 8.769934e+01
## 28 45 - 49 Dioxin recommendation tolerable daily intake 2018 7.957372e+01
## 29 50 - 54 Dioxin recommendation tolerable daily intake 2018 9.005815e+01
## 30 55 - 59 Dioxin recommendation tolerable daily intake 2018 9.336819e+01
## 31 60 - 64 Dioxin recommendation tolerable daily intake 2018 9.102633e+01
## 32 65 - 69 Dioxin recommendation tolerable daily intake 2018 1.034493e+02
## 33 70 - 74 Dioxin recommendation tolerable daily intake 2018 1.013543e+02
## 34 75 - 79 Dioxin recommendation tolerable daily intake 2018 6.149027e+01
## 35 80 - 84 Dioxin recommendation tolerable daily intake 2018 4.677361e+01
## 36 85+ Dioxin recommendation tolerable daily intake 2018 4.376368e+01
## 37 0 - 4 Immunosuppression 1.409758e+00
## 38 5 - 9 Immunosuppression 3.950077e+00
## 39 0 - 4 Loss in child's IQ points 1.169670e+01
## 40 0 - 4 PFAS TWI 8.396932e+00
## 41 5 - 9 PFAS TWI 6.689257e+01
## 42 10 - 14 PFAS TWI 6.477286e+01
## 43 15 - 19 PFAS TWI 6.229605e+01
## 44 20 - 24 PFAS TWI 9.059494e+01
## 45 25 - 29 PFAS TWI 1.026361e+02
## 46 30 - 34 PFAS TWI 1.012443e+02
## 47 35 - 39 PFAS TWI 1.041267e+02
## 48 40 - 44 PFAS TWI 9.995775e+01
## 49 45 - 49 PFAS TWI 9.062490e+01
## 50 50 - 54 PFAS TWI 1.024735e+02
## 51 55 - 59 PFAS TWI 1.061396e+02
## 52 60 - 64 PFAS TWI 1.033391e+02
## 53 65 - 69 PFAS TWI 1.090532e+02
## 54 70 - 74 PFAS TWI 1.066389e+02
## 55 75 - 79 PFAS TWI 6.442962e+01
## 56 80 - 84 PFAS TWI 4.869127e+01
## 57 85+ PFAS TWI 4.488841e+01
## 58 0 - 4 Sperm concentration 3.673540e+02
## 59 0 - 4 Vitamin D recommendation 2.789953e+02
## 60 5 - 9 Vitamin D recommendation 2.954665e+02
## 61 10 - 14 Vitamin D recommendation 3.091448e+02
## 62 15 - 19 Vitamin D recommendation 2.968834e+02
## 63 20 - 24 Vitamin D recommendation 2.836553e+02
## 64 25 - 29 Vitamin D recommendation 3.213781e+02
## 65 30 - 34 Vitamin D recommendation 3.168763e+02
## 66 35 - 39 Vitamin D recommendation 3.259402e+02
## 67 40 - 44 Vitamin D recommendation 3.131014e+02
## 68 45 - 49 Vitamin D recommendation 2.842471e+02
## 69 50 - 54 Vitamin D recommendation 3.218989e+02
## 70 55 - 59 Vitamin D recommendation 3.339483e+02
## 71 60 - 64 Vitamin D recommendation 3.258734e+02
## 72 65 - 69 Vitamin D recommendation 3.037856e+02
## 73 70 - 74 Vitamin D recommendation 2.979933e+02
## 74 75 - 79 Vitamin D recommendation 1.812547e+02
## 75 80 - 84 Vitamin D recommendation 1.384307e+02
## 76 85+ Vitamin D recommendation 1.306929e+02
## 77 0 - 4 Yes or no dental defect 2.255433e+02
## 78 0 - 4 All-cause mortality -6.997371e+01
## 79 5 - 9 All-cause mortality -3.839834e+01
## 80 10 - 14 All-cause mortality -4.622956e+01
## 81 15 - 19 All-cause mortality -1.309934e+02
## 82 20 - 24 All-cause mortality -3.452314e+02
## 83 25 - 29 All-cause mortality -4.119663e+02
## 84 30 - 34 All-cause mortality -4.379799e+02
## 85 35 - 39 All-cause mortality -5.407760e+02
## 86 40 - 44 All-cause mortality -6.646000e+02
## 87 45 - 49 All-cause mortality -8.853071e+02
## 88 50 - 54 All-cause mortality -1.371145e+03
## 89 55 - 59 All-cause mortality -1.921390e+03
## 90 60 - 64 All-cause mortality -2.522767e+03
## 91 65 - 69 All-cause mortality -3.921957e+03
## 92 70 - 74 All-cause mortality -4.724217e+03
## 93 75 - 79 All-cause mortality -3.859363e+03
## 94 80 - 84 All-cause mortality -3.975712e+03
## 95 85+ All-cause mortality -5.154125e+03
## 96 0 - 4 Depression -1.494882e-02
## 97 5 - 9 Depression -7.312900e+00
## 98 10 - 14 Depression -5.496555e+01
## 99 15 - 19 Depression -1.242428e+02
## 100 20 - 24 Depression -2.309439e+02
## 101 25 - 29 Depression -2.308706e+02
## 102 30 - 34 Depression -2.025407e+02
## 103 35 - 39 Depression -2.161037e+02
## 104 40 - 44 Depression -2.149180e+02
## 105 45 - 49 Depression -1.955520e+02
## 106 50 - 54 Depression -2.149183e+02
## 107 55 - 59 Depression -2.217746e+02
## 108 60 - 64 Depression -2.124055e+02
## 109 65 - 69 Depression -2.425608e+02
## 110 70 - 74 Depression -2.197377e+02
## 111 75 - 79 Depression -1.236256e+02
## 112 80 - 84 Depression -9.091906e+01
## 113 85+ Depression -8.467332e+01
## 114 0 - 4 CHD2 mortality -6.018588e+00
## 115 5 - 9 CHD2 mortality -5.962606e+00
## 116 10 - 14 CHD2 mortality -9.536885e+00
## 117 15 - 19 CHD2 mortality -1.849165e+01
## 118 20 - 24 CHD2 mortality -3.079494e+01
## 119 25 - 29 CHD2 mortality -5.345880e+01
## 120 30 - 34 CHD2 mortality -7.779232e+01
## 121 35 - 39 CHD2 mortality -1.432076e+02
## 122 40 - 44 CHD2 mortality -2.428114e+02
## 123 45 - 49 CHD2 mortality -3.823758e+02
## 124 50 - 54 CHD2 mortality -6.728882e+02
## 125 55 - 59 CHD2 mortality -1.075147e+03
## 126 60 - 64 CHD2 mortality -1.604622e+03
## 127 65 - 69 CHD2 mortality -2.257671e+03
## 128 70 - 74 CHD2 mortality -3.050607e+03
## 129 75 - 79 CHD2 mortality -2.895608e+03
## 130 80 - 84 CHD2 mortality -3.438948e+03
## 131 85+ CHD2 mortality -5.113855e+03
## 132 15 - 19 Breast cancer -2.863128e-01
## 133 20 - 24 Breast cancer -1.245421e+00
## 134 25 - 29 Breast cancer -5.731800e+00
## 135 30 - 34 Breast cancer -2.292193e+01
## 136 35 - 39 Breast cancer -4.144614e+01
## 137 40 - 44 Breast cancer -6.708729e+01
## 138 45 - 49 Breast cancer -1.095386e+02
## 139 50 - 54 Breast cancer -1.638916e+02
## 140 55 - 59 Breast cancer -2.103540e+02
## 141 60 - 64 Breast cancer -2.387390e+02
## 142 65 - 69 Breast cancer -3.208953e+02
## 143 70 - 74 Breast cancer -3.233861e+02
## 144 75 - 79 Breast cancer -2.393205e+02
## 145 80 - 84 Breast cancer -1.836715e+02
## 146 85+ Breast cancer -1.697011e+02oprint(summary(BoDattr,marginals=c("Exposure_agent","Response"),"mean"))## Exposure_agent Response
## 1 TEQ Cancer morbidity yearly
## 2 TEQ Dioxin recommendation tolerable daily intake 2018
## 3 PFAS Immunosuppression
## 4 DHA Loss in child's IQ points
## 5 MeHg Loss in child's IQ points
## 6 PFAS PFAS TWI
## 7 TEQ Sperm concentration
## 8 Vitamin D Vitamin D recommendation
## 9 TEQ Yes or no dental defect
## 10 Fish All-cause mortality
## 11 Fish Depression
## 12 Omega3 CHD2 mortality
## 13 Omega3 Breast cancer
## mean
## 1 94.952474
## 2 84.508784
## 3 2.679917
## 4 -248.500988
## 5 271.894397
## 6 82.066488
## 7 367.354018
## 8 281.087002
## 9 225.543298
## 10 -1723.451728
## 11 -160.448890
## 12 -1171.099826
## 13 -139.881112oprint(summary(BoDattr,marginals=c("Gender","Response"),"mean"))## Gender Response mean
## 1 Female Cancer morbidity yearly 72.216623
## 2 Male Cancer morbidity yearly 117.688326
## 3 Female Dioxin recommendation tolerable daily intake 2018 85.655597
## 4 Male Dioxin recommendation tolerable daily intake 2018 83.361970
## 5 Female Immunosuppression 2.174741
## 6 Male Immunosuppression 3.185094
## 7 Female Loss in child's IQ points 10.895974
## 8 Male Loss in child's IQ points 12.497435
## 9 Female PFAS TWI 75.169428
## 10 Male PFAS TWI 88.963549
## 11 Female Sperm concentration 327.716920
## 12 Male Sperm concentration 406.991116
## 13 Female Vitamin D recommendation 299.605848
## 14 Male Vitamin D recommendation 262.568157
## 15 Female Yes or no dental defect 199.063593
## 16 Male Yes or no dental defect 252.023003
## 17 Female All-cause mortality -1218.527576
## 18 Male All-cause mortality -2228.375881
## 19 Female Depression -177.905392
## 20 Male Depression -142.992388
## 21 Female CHD2 mortality -958.507116
## 22 Male CHD2 mortality -1383.692537
## 23 Female Breast cancer -277.673762
## 24 Male Breast cancer -2.088462oprint(summary(case_burden,"mean"))## Response mean
## 1 Dioxin recommendation tolerable daily intake 0.002193848
## 2 Dioxin recommendation tolerable daily intake 2018 0.002055036
## 3 Loss in child's IQ points 0.111114237
## 4 PFAS TWI 0.002209610
## 5 Sperm concentration 2.472082715
## 6 Vitamin D recommendation 0.002203746
## 7 Yes or no dental defect 0.060105744oprint(summary(conc,"mean"))## Fish Compound mean
## 1 Average fish ALA 0.69000000
## 2 Bream ALA 0.22000000
## 3 Herring ALA 1.74000000
## 4 Pike ALA 0.08000000
## 5 Rainbow trout ALA 4.81000000
## 6 Roach ALA 0.10000000
## 7 Salmon ALA 7.96000000
## 8 Vendace ALA 1.35000000
## 9 Whitefish ALA 2.22000000
## 10 Average fish DHA 2.54000000
## 11 Bream DHA 2.73000000
## 12 Herring DHA 5.86000000
## 13 Pike DHA 0.30000000
## 14 Rainbow trout DHA 7.57000000
## 15 Roach DHA 2.87000000
## 16 Salmon DHA 6.69000000
## 17 Vendace DHA 3.00000000
## 18 Whitefish DHA 3.94000000
## 19 Average fish Fish 1.00000000
## 20 Bream Fish 1.00000000
## 21 Herring Fish 1.00000000
## 22 Pike Fish 1.00000000
## 23 Rainbow trout Fish 1.00000000
## 24 Roach Fish 1.00000000
## 25 Salmon Fish 1.00000000
## 26 Vendace Fish 1.00000000
## 27 Whitefish Fish 1.00000000
## 28 Average fish MeHg 0.04173655
## 29 Bream MeHg 0.74219290
## 30 Burbot MeHg 1.28856628
## 31 Flounder MeHg 0.05654086
## 32 Fourhorn sculpin MeHg 0.68213993
## 33 Herring MeHg 0.03006897
## 34 Perch MeHg 0.21755263
## 35 Pike MeHg 1.39428894
## 36 Pike-perch MeHg 0.35321728
## 37 Roach MeHg 0.32359742
## 38 Salmon MeHg 0.17732483
## 39 Sprat MeHg 0.04861800
## 40 White bream MeHg 1.37967806
## 41 Whitefish MeHg 0.07528727
## 42 Average fish Omega3 7.00000000
## 43 Bream Omega3 6.00000000
## 44 Herring Omega3 24.00000000
## 45 Pike Omega3 0.48755001
## 46 Rainbow trout Omega3 18.00000000
## 47 Roach Omega3 5.00000000
## 48 Salmon Omega3 23.00000000
## 49 Vendace Omega3 10.00000000
## 50 Whitefish Omega3 10.00000000
## 51 Average fish PFAS 8.89745683
## 52 Bream PFAS 4.94701243
## 53 Eel PFAS 7.90154169
## 54 Herring PFAS 1.65501151
## 55 Perch PFAS 8.99982753
## 56 Pike PFAS 8.74241994
## 57 Pike-perch PFAS 2.59682481
## 58 Rainbow trout PFAS 8.21572049
## 59 Roach PFAS 9.21044812
## 60 Salmon PFAS 8.63064676
## 61 Vendace PFAS 8.68377750
## 62 Whitefish PFAS 8.57080660
## 63 Bream TEQ 6.20175433
## 64 Burbot TEQ 0.82549312
## 65 Cod TEQ 1.67367981
## 66 Flounder TEQ 15.36558024
## 67 Herring TEQ 90.08722156
## 68 Perch TEQ 3.56897420
## 69 Pike TEQ 2.14862962
## 70 Pike-perch TEQ 2.70814568
## 71 River lamprey TEQ 7.34301416
## 72 Roach TEQ 0.72124877
## 73 Salmon TEQ 20.00778296
## 74 Sea trout TEQ 9.31778459
## 75 Sprat TEQ 4.15456559
## 76 Vendace TEQ 0.99253888
## 77 Whitefish TEQ 5.74967872
## 78 Average fish Vitamin D 0.10500000
## 79 Bream Vitamin D 0.14000000
## 80 Herring Vitamin D 0.15600000
## 81 Pike Vitamin D 0.02100000
## 82 Rainbow trout Vitamin D 0.05100000
## 83 Roach Vitamin D 0.10000000
## 84 Salmon Vitamin D 0.06700000
## 85 Vendace Vitamin D 0.09400000
## 86 Whitefish Vitamin D 0.14400000oprint(summary(dose,"mean"))## Gender Age Exposure_agent Exposure Scaling mean
## 1 Female 0 - 4 ALA Direct BW 3.061958e-01
## 2 Male 0 - 4 ALA Direct BW 4.142649e-01
## 3 Female 5 - 9 ALA Direct BW 5.669513e-01
## 4 Male 5 - 9 ALA Direct BW 7.670517e-01
## 5 Female 10 - 14 ALA Direct BW 8.626566e-01
## 6 Male 10 - 14 ALA Direct BW 1.167124e+00
## 7 Female 15 - 19 ALA Direct BW 8.626566e-01
## 8 Male 15 - 19 ALA Direct BW 1.167124e+00
## 9 Female 20 - 24 ALA Direct BW 1.425036e+00
## 10 Male 20 - 24 ALA Direct BW 1.927990e+00
## 11 Female 25 - 29 ALA Direct BW 1.425036e+00
## 12 Male 25 - 29 ALA Direct BW 1.927990e+00
## 13 Female 30 - 34 ALA Direct BW 1.425036e+00
## 14 Male 30 - 34 ALA Direct BW 1.927990e+00
## 15 Female 35 - 39 ALA Direct BW 1.425036e+00
## 16 Male 35 - 39 ALA Direct BW 1.927990e+00
## 17 Female 40 - 44 ALA Direct BW 1.425036e+00
## 18 Male 40 - 44 ALA Direct BW 1.927990e+00
## 19 Female 45 - 49 ALA Direct BW 1.425036e+00
## 20 Male 45 - 49 ALA Direct BW 1.927990e+00
## 21 Female 50 - 54 ALA Direct BW 1.425036e+00
## 22 Male 50 - 54 ALA Direct BW 1.927990e+00
## 23 Female 55 - 59 ALA Direct BW 1.425036e+00
## 24 Male 55 - 59 ALA Direct BW 1.927990e+00
## 25 Female 60 - 64 ALA Direct BW 1.425036e+00
## 26 Male 60 - 64 ALA Direct BW 1.927990e+00
## 27 Female 65 - 69 ALA Direct BW 1.979800e+00
## 28 Male 65 - 69 ALA Direct BW 2.678553e+00
## 29 Female 70 - 74 ALA Direct BW 1.979800e+00
## 30 Male 70 - 74 ALA Direct BW 2.678553e+00
## 31 Female 75 - 79 ALA Direct BW 1.979800e+00
## 32 Male 75 - 79 ALA Direct BW 2.678553e+00
## 33 Female 80 - 84 ALA Direct BW 1.979800e+00
## 34 Male 80 - 84 ALA Direct BW 2.678553e+00
## 35 Female 85+ ALA Direct BW 1.979800e+00
## 36 Male 85+ ALA Direct BW 2.678553e+00
## 37 Female 0 - 4 DHA Direct BW 7.933049e-01
## 38 Male 0 - 4 DHA Direct BW 1.093282e+00
## 39 Female 5 - 9 DHA Direct BW 1.311580e+00
## 40 Male 5 - 9 DHA Direct BW 1.794477e+00
## 41 Female 10 - 14 DHA Direct BW 1.484387e+00
## 42 Male 10 - 14 DHA Direct BW 2.028275e+00
## 43 Female 15 - 19 DHA Direct BW 1.484387e+00
## 44 Male 15 - 19 DHA Direct BW 2.028275e+00
## 45 Female 20 - 24 DHA Direct BW 2.156782e+00
## 46 Male 20 - 24 DHA Direct BW 2.937986e+00
## 47 Female 25 - 29 DHA Direct BW 2.156782e+00
## 48 Male 25 - 29 DHA Direct BW 2.937986e+00
## 49 Female 30 - 34 DHA Direct BW 2.156782e+00
## 50 Male 30 - 34 DHA Direct BW 2.937986e+00
## 51 Female 35 - 39 DHA Direct BW 2.156782e+00
## 52 Male 35 - 39 DHA Direct BW 2.937986e+00
## 53 Female 40 - 44 DHA Direct BW 2.156782e+00
## 54 Male 40 - 44 DHA Direct BW 2.937986e+00
## 55 Female 45 - 49 DHA Direct BW 2.156782e+00
## 56 Male 45 - 49 DHA Direct BW 2.937986e+00
## 57 Female 50 - 54 DHA Direct BW 2.156782e+00
## 58 Male 50 - 54 DHA Direct BW 2.937986e+00
## 59 Female 55 - 59 DHA Direct BW 2.156782e+00
## 60 Male 55 - 59 DHA Direct BW 2.937986e+00
## 61 Female 60 - 64 DHA Direct BW 2.156782e+00
## 62 Male 60 - 64 DHA Direct BW 2.937986e+00
## 63 Female 65 - 69 DHA Direct BW 2.784172e+00
## 64 Male 65 - 69 DHA Direct BW 3.786808e+00
## 65 Female 70 - 74 DHA Direct BW 2.784172e+00
## 66 Male 70 - 74 DHA Direct BW 3.786808e+00
## 67 Female 75 - 79 DHA Direct BW 2.784172e+00
## 68 Male 75 - 79 DHA Direct BW 3.786808e+00
## 69 Female 80 - 84 DHA Direct BW 2.784172e+00
## 70 Male 80 - 84 DHA Direct BW 3.786808e+00
## 71 Female 85+ DHA Direct BW 2.784172e+00
## 72 Male 85+ DHA Direct BW 3.786808e+00
## 73 Female 0 - 4 EPA Direct BW 4.244296e-01
## 74 Male 0 - 4 EPA Direct BW 6.210307e-01
## 75 Female 5 - 9 EPA Direct BW 4.244296e-01
## 76 Male 5 - 9 EPA Direct BW 6.210307e-01
## 77 Female 10 - 14 EPA Direct BW 4.244296e-01
## 78 Male 10 - 14 EPA Direct BW 6.210307e-01
## 79 Female 15 - 19 EPA Direct BW 4.244296e-01
## 80 Male 15 - 19 EPA Direct BW 6.210307e-01
## 81 Female 20 - 24 EPA Direct BW 4.244296e-01
## 82 Male 20 - 24 EPA Direct BW 6.210307e-01
## 83 Female 25 - 29 EPA Direct BW 4.244296e-01
## 84 Male 25 - 29 EPA Direct BW 6.210307e-01
## 85 Female 30 - 34 EPA Direct BW 4.244296e-01
## 86 Male 30 - 34 EPA Direct BW 6.210307e-01
## 87 Female 35 - 39 EPA Direct BW 4.244296e-01
## 88 Male 35 - 39 EPA Direct BW 6.210307e-01
## 89 Female 40 - 44 EPA Direct BW 4.244296e-01
## 90 Male 40 - 44 EPA Direct BW 6.210307e-01
## 91 Female 45 - 49 EPA Direct BW 4.244296e-01
## 92 Male 45 - 49 EPA Direct BW 6.210307e-01
## 93 Female 50 - 54 EPA Direct BW 4.244296e-01
## 94 Male 50 - 54 EPA Direct BW 6.210307e-01
## 95 Female 55 - 59 EPA Direct BW 4.244296e-01
## 96 Male 55 - 59 EPA Direct BW 6.210307e-01
## 97 Female 60 - 64 EPA Direct BW 4.244296e-01
## 98 Male 60 - 64 EPA Direct BW 6.210307e-01
## 99 Female 65 - 69 EPA Direct BW 4.244296e-01
## 100 Male 65 - 69 EPA Direct BW 6.210307e-01
## 101 Female 70 - 74 EPA Direct BW 4.244296e-01
## 102 Male 70 - 74 EPA Direct BW 6.210307e-01
## 103 Female 75 - 79 EPA Direct BW 4.244296e-01
## 104 Male 75 - 79 EPA Direct BW 6.210307e-01
## 105 Female 80 - 84 EPA Direct BW 4.244296e-01
## 106 Male 80 - 84 EPA Direct BW 6.210307e-01
## 107 Female 85+ EPA Direct BW 4.244296e-01
## 108 Male 85+ EPA Direct BW 6.210307e-01
## 109 Female 0 - 4 Fish Direct BW 8.231686e-02
## 110 Male 0 - 4 Fish Direct BW 1.113699e-01
## 111 Female 5 - 9 Fish Direct BW 2.509984e-01
## 112 Male 5 - 9 Fish Direct BW 3.395860e-01
## 113 Female 10 - 14 Fish Direct BW 2.516307e-01
## 114 Male 10 - 14 Fish Direct BW 3.404415e-01
## 115 Female 15 - 19 Fish Direct BW 2.516307e-01
## 116 Male 15 - 19 Fish Direct BW 3.404415e-01
## 117 Female 20 - 24 Fish Direct BW 3.952884e-01
## 118 Male 20 - 24 Fish Direct BW 5.348020e-01
## 119 Female 25 - 29 Fish Direct BW 3.952884e-01
## 120 Male 25 - 29 Fish Direct BW 5.348020e-01
## 121 Female 30 - 34 Fish Direct BW 3.952884e-01
## 122 Male 30 - 34 Fish Direct BW 5.348020e-01
## 123 Female 35 - 39 Fish Direct BW 3.952884e-01
## 124 Male 35 - 39 Fish Direct BW 5.348020e-01
## 125 Female 40 - 44 Fish Direct BW 3.952884e-01
## 126 Male 40 - 44 Fish Direct BW 5.348020e-01
## 127 Female 45 - 49 Fish Direct BW 3.952884e-01
## 128 Male 45 - 49 Fish Direct BW 5.348020e-01
## 129 Female 50 - 54 Fish Direct BW 3.952884e-01
## 130 Male 50 - 54 Fish Direct BW 5.348020e-01
## 131 Female 55 - 59 Fish Direct BW 3.952884e-01
## 132 Male 55 - 59 Fish Direct BW 5.348020e-01
## 133 Female 60 - 64 Fish Direct BW 3.952884e-01
## 134 Male 60 - 64 Fish Direct BW 5.348020e-01
## 135 Female 65 - 69 Fish Direct BW 5.110244e-01
## 136 Male 65 - 69 Fish Direct BW 6.913859e-01
## 137 Female 70 - 74 Fish Direct BW 5.110244e-01
## 138 Male 70 - 74 Fish Direct BW 6.913859e-01
## 139 Female 75 - 79 Fish Direct BW 5.110244e-01
## 140 Male 75 - 79 Fish Direct BW 6.913859e-01
## 141 Female 80 - 84 Fish Direct BW 5.110244e-01
## 142 Male 80 - 84 Fish Direct BW 6.913859e-01
## 143 Female 85+ Fish Direct BW 5.110244e-01
## 144 Male 85+ Fish Direct BW 6.913859e-01
## 145 Female 0 - 4 MeHg Direct BW 8.531094e-03
## 146 Male 0 - 4 MeHg Direct BW 1.154207e-02
## 147 Female 5 - 9 MeHg Direct BW 1.895836e-02
## 148 Male 5 - 9 MeHg Direct BW 2.564955e-02
## 149 Female 10 - 14 MeHg Direct BW 2.330731e-02
## 150 Male 10 - 14 MeHg Direct BW 3.153343e-02
## 151 Female 15 - 19 MeHg Direct BW 2.330731e-02
## 152 Male 15 - 19 MeHg Direct BW 3.153343e-02
## 153 Female 20 - 24 MeHg Direct BW 4.040592e-02
## 154 Male 20 - 24 MeHg Direct BW 5.466683e-02
## 155 Female 25 - 29 MeHg Direct BW 4.040592e-02
## 156 Male 25 - 29 MeHg Direct BW 5.466683e-02
## 157 Female 30 - 34 MeHg Direct BW 4.040592e-02
## 158 Male 30 - 34 MeHg Direct BW 5.466683e-02
## 159 Female 35 - 39 MeHg Direct BW 4.040592e-02
## 160 Male 35 - 39 MeHg Direct BW 5.466683e-02
## 161 Female 40 - 44 MeHg Direct BW 4.040592e-02
## 162 Male 40 - 44 MeHg Direct BW 5.466683e-02
## 163 Female 45 - 49 MeHg Direct BW 4.040592e-02
## 164 Male 45 - 49 MeHg Direct BW 5.466683e-02
## 165 Female 50 - 54 MeHg Direct BW 4.040592e-02
## 166 Male 50 - 54 MeHg Direct BW 5.466683e-02
## 167 Female 55 - 59 MeHg Direct BW 4.040592e-02
## 168 Male 55 - 59 MeHg Direct BW 5.466683e-02
## 169 Female 60 - 64 MeHg Direct BW 4.040592e-02
## 170 Male 60 - 64 MeHg Direct BW 5.466683e-02
## 171 Female 65 - 69 MeHg Direct BW 5.346493e-02
## 172 Male 65 - 69 MeHg Direct BW 7.233491e-02
## 173 Female 70 - 74 MeHg Direct BW 5.346493e-02
## 174 Male 70 - 74 MeHg Direct BW 7.233491e-02
## 175 Female 75 - 79 MeHg Direct BW 5.346493e-02
## 176 Male 75 - 79 MeHg Direct BW 7.233491e-02
## 177 Female 80 - 84 MeHg Direct BW 5.346493e-02
## 178 Male 80 - 84 MeHg Direct BW 7.233491e-02
## 179 Female 85+ MeHg Direct BW 5.346493e-02
## 180 Male 85+ MeHg Direct BW 7.233491e-02
## 181 Female 0 - 4 Omega3 Direct BW 2.020964e+00
## 182 Male 0 - 4 Omega3 Direct BW 2.753231e+00
## 183 Female 5 - 9 Omega3 Direct BW 3.554566e+00
## 184 Male 5 - 9 Omega3 Direct BW 4.828105e+00
## 185 Female 10 - 14 Omega3 Direct BW 4.223030e+00
## 186 Male 10 - 14 Omega3 Direct BW 5.732497e+00
## 187 Female 15 - 19 Omega3 Direct BW 4.223030e+00
## 188 Male 15 - 19 Omega3 Direct BW 5.732497e+00
## 189 Female 20 - 24 Omega3 Direct BW 6.341576e+00
## 190 Male 20 - 24 Omega3 Direct BW 8.598765e+00
## 191 Female 25 - 29 Omega3 Direct BW 6.341576e+00
## 192 Male 25 - 29 Omega3 Direct BW 8.598765e+00
## 193 Female 30 - 34 Omega3 Direct BW 6.341576e+00
## 194 Male 30 - 34 Omega3 Direct BW 8.598765e+00
## 195 Female 35 - 39 Omega3 Direct BW 6.341576e+00
## 196 Male 35 - 39 Omega3 Direct BW 8.598765e+00
## 197 Female 40 - 44 Omega3 Direct BW 6.341576e+00
## 198 Male 40 - 44 Omega3 Direct BW 8.598765e+00
## 199 Female 45 - 49 Omega3 Direct BW 6.341576e+00
## 200 Male 45 - 49 Omega3 Direct BW 8.598765e+00
## 201 Female 50 - 54 Omega3 Direct BW 6.341576e+00
## 202 Male 50 - 54 Omega3 Direct BW 8.598765e+00
## 203 Female 55 - 59 Omega3 Direct BW 6.341576e+00
## 204 Male 55 - 59 Omega3 Direct BW 8.598765e+00
## 205 Female 60 - 64 Omega3 Direct BW 6.341576e+00
## 206 Male 60 - 64 Omega3 Direct BW 8.598765e+00
## 207 Female 65 - 69 Omega3 Direct BW 8.559058e+00
## 208 Male 65 - 69 Omega3 Direct BW 1.159889e+01
## 209 Female 70 - 74 Omega3 Direct BW 8.559058e+00
## 210 Male 70 - 74 Omega3 Direct BW 1.159889e+01
## 211 Female 75 - 79 Omega3 Direct BW 8.559058e+00
## 212 Male 75 - 79 Omega3 Direct BW 1.159889e+01
## 213 Female 80 - 84 Omega3 Direct BW 8.559058e+00
## 214 Male 80 - 84 Omega3 Direct BW 1.159889e+01
## 215 Female 85+ Omega3 Direct BW 8.559058e+00
## 216 Male 85+ Omega3 Direct BW 1.159889e+01
## 217 Female 0 - 4 PFAS Direct BW 6.749939e-01
## 218 Male 0 - 4 PFAS Direct BW 9.132271e-01
## 219 Female 5 - 9 PFAS Direct BW 2.135159e+00
## 220 Male 5 - 9 PFAS Direct BW 2.888744e+00
## 221 Female 10 - 14 PFAS Direct BW 2.167332e+00
## 222 Male 10 - 14 PFAS Direct BW 2.932272e+00
## 223 Female 15 - 19 PFAS Direct BW 2.167332e+00
## 224 Male 15 - 19 PFAS Direct BW 2.932272e+00
## 225 Female 20 - 24 PFAS Direct BW 3.296255e+00
## 226 Male 20 - 24 PFAS Direct BW 4.459638e+00
## 227 Female 25 - 29 PFAS Direct BW 3.296255e+00
## 228 Male 25 - 29 PFAS Direct BW 4.459638e+00
## 229 Female 30 - 34 PFAS Direct BW 3.296255e+00
## 230 Male 30 - 34 PFAS Direct BW 4.459638e+00
## 231 Female 35 - 39 PFAS Direct BW 3.296255e+00
## 232 Male 35 - 39 PFAS Direct BW 4.459638e+00
## 233 Female 40 - 44 PFAS Direct BW 3.296255e+00
## 234 Male 40 - 44 PFAS Direct BW 4.459638e+00
## 235 Female 45 - 49 PFAS Direct BW 3.296255e+00
## 236 Male 45 - 49 PFAS Direct BW 4.459638e+00
## 237 Female 50 - 54 PFAS Direct BW 3.296255e+00
## 238 Male 50 - 54 PFAS Direct BW 4.459638e+00
## 239 Female 55 - 59 PFAS Direct BW 3.296255e+00
## 240 Male 55 - 59 PFAS Direct BW 4.459638e+00
## 241 Female 60 - 64 PFAS Direct BW 3.296255e+00
## 242 Male 60 - 64 PFAS Direct BW 4.459638e+00
## 243 Female 65 - 69 PFAS Direct BW 4.410885e+00
## 244 Male 65 - 69 PFAS Direct BW 5.967668e+00
## 245 Female 70 - 74 PFAS Direct BW 4.410885e+00
## 246 Male 70 - 74 PFAS Direct BW 5.967668e+00
## 247 Female 75 - 79 PFAS Direct BW 4.410885e+00
## 248 Male 75 - 79 PFAS Direct BW 5.967668e+00
## 249 Female 80 - 84 PFAS Direct BW 4.410885e+00
## 250 Male 80 - 84 PFAS Direct BW 5.967668e+00
## 251 Female 85+ PFAS Direct BW 4.410885e+00
## 252 Male 85+ PFAS Direct BW 5.967668e+00
## 253 Female 0 - 4 TEQ Direct BW 7.750475e-01
## 254 Male 0 - 4 TEQ Direct BW 1.048594e+00
## 255 Female 5 - 9 TEQ Direct BW 1.397440e+00
## 256 Male 5 - 9 TEQ Direct BW 1.890655e+00
## 257 Female 10 - 14 TEQ Direct BW 2.288415e+00
## 258 Male 10 - 14 TEQ Direct BW 3.096091e+00
## 259 Female 15 - 19 TEQ Direct BW 2.288415e+00
## 260 Male 15 - 19 TEQ Direct BW 3.096091e+00
## 261 Female 20 - 24 TEQ Direct BW 4.312746e+00
## 262 Male 20 - 24 TEQ Direct BW 5.834892e+00
## 263 Female 25 - 29 TEQ Direct BW 4.312746e+00
## 264 Male 25 - 29 TEQ Direct BW 5.834892e+00
## 265 Female 30 - 34 TEQ Direct BW 4.312746e+00
## 266 Male 30 - 34 TEQ Direct BW 5.834892e+00
## 267 Female 35 - 39 TEQ Direct BW 4.312746e+00
## 268 Male 35 - 39 TEQ Direct BW 5.834892e+00
## 269 Female 40 - 44 TEQ Direct BW 4.312746e+00
## 270 Male 40 - 44 TEQ Direct BW 5.834892e+00
## 271 Female 45 - 49 TEQ Direct BW 4.312746e+00
## 272 Male 45 - 49 TEQ Direct BW 5.834892e+00
## 273 Female 50 - 54 TEQ Direct BW 4.312746e+00
## 274 Male 50 - 54 TEQ Direct BW 5.834892e+00
## 275 Female 55 - 59 TEQ Direct BW 4.312746e+00
## 276 Male 55 - 59 TEQ Direct BW 5.834892e+00
## 277 Female 60 - 64 TEQ Direct BW 4.312746e+00
## 278 Male 60 - 64 TEQ Direct BW 5.834892e+00
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## 726 Male 80 - 84 DHA Direct None 2.650766e+02
## 727 Female 85+ DHA Direct None 1.948921e+02
## 728 Male 85+ DHA Direct None 2.650766e+02
## 729 Female 0 - 4 EPA Direct None 2.971007e+01
## 730 Male 0 - 4 EPA Direct None 4.347215e+01
## 731 Female 5 - 9 EPA Direct None 2.971007e+01
## 732 Male 5 - 9 EPA Direct None 4.347215e+01
## 733 Female 10 - 14 EPA Direct None 2.971007e+01
## 734 Male 10 - 14 EPA Direct None 4.347215e+01
## 735 Female 15 - 19 EPA Direct None 2.971007e+01
## 736 Male 15 - 19 EPA Direct None 4.347215e+01
## 737 Female 20 - 24 EPA Direct None 2.971007e+01
## 738 Male 20 - 24 EPA Direct None 4.347215e+01
## 739 Female 25 - 29 EPA Direct None 2.971007e+01
## 740 Male 25 - 29 EPA Direct None 4.347215e+01
## 741 Female 30 - 34 EPA Direct None 2.971007e+01
## 742 Male 30 - 34 EPA Direct None 4.347215e+01
## 743 Female 35 - 39 EPA Direct None 2.971007e+01
## 744 Male 35 - 39 EPA Direct None 4.347215e+01
## 745 Female 40 - 44 EPA Direct None 2.971007e+01
## 746 Male 40 - 44 EPA Direct None 4.347215e+01
## 747 Female 45 - 49 EPA Direct None 2.971007e+01
## 748 Male 45 - 49 EPA Direct None 4.347215e+01
## 749 Female 50 - 54 EPA Direct None 2.971007e+01
## 750 Male 50 - 54 EPA Direct None 4.347215e+01
## 751 Female 55 - 59 EPA Direct None 2.971007e+01
## 752 Male 55 - 59 EPA Direct None 4.347215e+01
## 753 Female 60 - 64 EPA Direct None 2.971007e+01
## 754 Male 60 - 64 EPA Direct None 4.347215e+01
## 755 Female 65 - 69 EPA Direct None 2.971007e+01
## 756 Male 65 - 69 EPA Direct None 4.347215e+01
## 757 Female 70 - 74 EPA Direct None 2.971007e+01
## 758 Male 70 - 74 EPA Direct None 4.347215e+01
## 759 Female 75 - 79 EPA Direct None 2.971007e+01
## 760 Male 75 - 79 EPA Direct None 4.347215e+01
## 761 Female 80 - 84 EPA Direct None 2.971007e+01
## 762 Male 80 - 84 EPA Direct None 4.347215e+01
## 763 Female 85+ EPA Direct None 2.971007e+01
## 764 Male 85+ EPA Direct None 4.347215e+01
## 765 Female 0 - 4 Fish Direct None 5.762180e+00
## 766 Male 0 - 4 Fish Direct None 7.795891e+00
## 767 Female 5 - 9 Fish Direct None 1.756988e+01
## 768 Male 5 - 9 Fish Direct None 2.377102e+01
## 769 Female 10 - 14 Fish Direct None 1.761415e+01
## 770 Male 10 - 14 Fish Direct None 2.383090e+01
## 771 Female 15 - 19 Fish Direct None 1.761415e+01
## 772 Male 15 - 19 Fish Direct None 2.383090e+01
## 773 Female 20 - 24 Fish Direct None 2.767019e+01
## 774 Male 20 - 24 Fish Direct None 3.743614e+01
## 775 Female 25 - 29 Fish Direct None 2.767019e+01
## 776 Male 25 - 29 Fish Direct None 3.743614e+01
## 777 Female 30 - 34 Fish Direct None 2.767019e+01
## 778 Male 30 - 34 Fish Direct None 3.743614e+01
## 779 Female 35 - 39 Fish Direct None 2.767019e+01
## 780 Male 35 - 39 Fish Direct None 3.743614e+01
## 781 Female 40 - 44 Fish Direct None 2.767019e+01
## 782 Male 40 - 44 Fish Direct None 3.743614e+01
## 783 Female 45 - 49 Fish Direct None 2.767019e+01
## 784 Male 45 - 49 Fish Direct None 3.743614e+01
## 785 Female 50 - 54 Fish Direct None 2.767019e+01
## 786 Male 50 - 54 Fish Direct None 3.743614e+01
## 787 Female 55 - 59 Fish Direct None 2.767019e+01
## 788 Male 55 - 59 Fish Direct None 3.743614e+01
## 789 Female 60 - 64 Fish Direct None 2.767019e+01
## 790 Male 60 - 64 Fish Direct None 3.743614e+01
## 791 Female 65 - 69 Fish Direct None 3.577171e+01
## 792 Male 65 - 69 Fish Direct None 4.839701e+01
## 793 Female 70 - 74 Fish Direct None 3.577171e+01
## 794 Male 70 - 74 Fish Direct None 4.839701e+01
## 795 Female 75 - 79 Fish Direct None 3.577171e+01
## 796 Male 75 - 79 Fish Direct None 4.839701e+01
## 797 Female 80 - 84 Fish Direct None 3.577171e+01
## 798 Male 80 - 84 Fish Direct None 4.839701e+01
## 799 Female 85+ Fish Direct None 3.577171e+01
## 800 Male 85+ Fish Direct None 4.839701e+01
## 801 Female 0 - 4 MeHg Direct None 5.971765e-01
## 802 Male 0 - 4 MeHg Direct None 8.079447e-01
## 803 Female 5 - 9 MeHg Direct None 1.327085e+00
## 804 Male 5 - 9 MeHg Direct None 1.795468e+00
## 805 Female 10 - 14 MeHg Direct None 1.631512e+00
## 806 Male 10 - 14 MeHg Direct None 2.207340e+00
## 807 Female 15 - 19 MeHg Direct None 1.631512e+00
## 808 Male 15 - 19 MeHg Direct None 2.207340e+00
## 809 Female 20 - 24 MeHg Direct None 2.828414e+00
## 810 Male 20 - 24 MeHg Direct None 3.826678e+00
## 811 Female 25 - 29 MeHg Direct None 2.828414e+00
## 812 Male 25 - 29 MeHg Direct None 3.826678e+00
## 813 Female 30 - 34 MeHg Direct None 2.828414e+00
## 814 Male 30 - 34 MeHg Direct None 3.826678e+00
## 815 Female 35 - 39 MeHg Direct None 2.828414e+00
## 816 Male 35 - 39 MeHg Direct None 3.826678e+00
## 817 Female 40 - 44 MeHg Direct None 2.828414e+00
## 818 Male 40 - 44 MeHg Direct None 3.826678e+00
## 819 Female 45 - 49 MeHg Direct None 2.828414e+00
## 820 Male 45 - 49 MeHg Direct None 3.826678e+00
## 821 Female 50 - 54 MeHg Direct None 2.828414e+00
## 822 Male 50 - 54 MeHg Direct None 3.826678e+00
## 823 Female 55 - 59 MeHg Direct None 2.828414e+00
## 824 Male 55 - 59 MeHg Direct None 3.826678e+00
## 825 Female 60 - 64 MeHg Direct None 2.828414e+00
## 826 Male 60 - 64 MeHg Direct None 3.826678e+00
## 827 Female 65 - 69 MeHg Direct None 3.742545e+00
## 828 Male 65 - 69 MeHg Direct None 5.063444e+00
## 829 Female 70 - 74 MeHg Direct None 3.742545e+00
## 830 Male 70 - 74 MeHg Direct None 5.063444e+00
## 831 Female 75 - 79 MeHg Direct None 3.742545e+00
## 832 Male 75 - 79 MeHg Direct None 5.063444e+00
## 833 Female 80 - 84 MeHg Direct None 3.742545e+00
## 834 Male 80 - 84 MeHg Direct None 5.063444e+00
## 835 Female 85+ MeHg Direct None 3.742545e+00
## 836 Male 85+ MeHg Direct None 5.063444e+00
## 837 Female 0 - 4 Omega3 Direct None 1.414675e+02
## 838 Male 0 - 4 Omega3 Direct None 1.927262e+02
## 839 Female 5 - 9 Omega3 Direct None 2.488197e+02
## 840 Male 5 - 9 Omega3 Direct None 3.379674e+02
## 841 Female 10 - 14 Omega3 Direct None 2.956121e+02
## 842 Male 10 - 14 Omega3 Direct None 4.012748e+02
## 843 Female 15 - 19 Omega3 Direct None 2.956121e+02
## 844 Male 15 - 19 Omega3 Direct None 4.012748e+02
## 845 Female 20 - 24 Omega3 Direct None 4.439103e+02
## 846 Male 20 - 24 Omega3 Direct None 6.019136e+02
## 847 Female 25 - 29 Omega3 Direct None 4.439103e+02
## 848 Male 25 - 29 Omega3 Direct None 6.019136e+02
## 849 Female 30 - 34 Omega3 Direct None 4.439103e+02
## 850 Male 30 - 34 Omega3 Direct None 6.019136e+02
## 851 Female 35 - 39 Omega3 Direct None 4.439103e+02
## 852 Male 35 - 39 Omega3 Direct None 6.019136e+02
## 853 Female 40 - 44 Omega3 Direct None 4.439103e+02
## 854 Male 40 - 44 Omega3 Direct None 6.019136e+02
## 855 Female 45 - 49 Omega3 Direct None 4.439103e+02
## 856 Male 45 - 49 Omega3 Direct None 6.019136e+02
## 857 Female 50 - 54 Omega3 Direct None 4.439103e+02
## 858 Male 50 - 54 Omega3 Direct None 6.019136e+02
## 859 Female 55 - 59 Omega3 Direct None 4.439103e+02
## 860 Male 55 - 59 Omega3 Direct None 6.019136e+02
## 861 Female 60 - 64 Omega3 Direct None 4.439103e+02
## 862 Male 60 - 64 Omega3 Direct None 6.019136e+02
## 863 Female 65 - 69 Omega3 Direct None 5.991341e+02
## 864 Male 65 - 69 Omega3 Direct None 8.119222e+02
## 865 Female 70 - 74 Omega3 Direct None 5.991341e+02
## 866 Male 70 - 74 Omega3 Direct None 8.119222e+02
## 867 Female 75 - 79 Omega3 Direct None 5.991341e+02
## 868 Male 75 - 79 Omega3 Direct None 8.119222e+02
## 869 Female 80 - 84 Omega3 Direct None 5.991341e+02
## 870 Male 80 - 84 Omega3 Direct None 8.119222e+02
## 871 Female 85+ Omega3 Direct None 5.991341e+02
## 872 Male 85+ Omega3 Direct None 8.119222e+02
## 873 Female 0 - 4 PFAS Direct None 4.724958e+01
## 874 Male 0 - 4 PFAS Direct None 6.392590e+01
## 875 Female 5 - 9 PFAS Direct None 1.494611e+02
## 876 Male 5 - 9 PFAS Direct None 2.022121e+02
## 877 Female 10 - 14 PFAS Direct None 1.517132e+02
## 878 Male 10 - 14 PFAS Direct None 2.052591e+02
## 879 Female 15 - 19 PFAS Direct None 1.517132e+02
## 880 Male 15 - 19 PFAS Direct None 2.052591e+02
## 881 Female 20 - 24 PFAS Direct None 2.307378e+02
## 882 Male 20 - 24 PFAS Direct None 3.121747e+02
## 883 Female 25 - 29 PFAS Direct None 2.307378e+02
## 884 Male 25 - 29 PFAS Direct None 3.121747e+02
## 885 Female 30 - 34 PFAS Direct None 2.307378e+02
## 886 Male 30 - 34 PFAS Direct None 3.121747e+02
## 887 Female 35 - 39 PFAS Direct None 2.307378e+02
## 888 Male 35 - 39 PFAS Direct None 3.121747e+02
## 889 Female 40 - 44 PFAS Direct None 2.307378e+02
## 890 Male 40 - 44 PFAS Direct None 3.121747e+02
## 891 Female 45 - 49 PFAS Direct None 2.307378e+02
## 892 Male 45 - 49 PFAS Direct None 3.121747e+02
## 893 Female 50 - 54 PFAS Direct None 2.307378e+02
## 894 Male 50 - 54 PFAS Direct None 3.121747e+02
## 895 Female 55 - 59 PFAS Direct None 2.307378e+02
## 896 Male 55 - 59 PFAS Direct None 3.121747e+02
## 897 Female 60 - 64 PFAS Direct None 2.307378e+02
## 898 Male 60 - 64 PFAS Direct None 3.121747e+02
## 899 Female 65 - 69 PFAS Direct None 3.087620e+02
## 900 Male 65 - 69 PFAS Direct None 4.177368e+02
## 901 Female 70 - 74 PFAS Direct None 3.087620e+02
## 902 Male 70 - 74 PFAS Direct None 4.177368e+02
## 903 Female 75 - 79 PFAS Direct None 3.087620e+02
## 904 Male 75 - 79 PFAS Direct None 4.177368e+02
## 905 Female 80 - 84 PFAS Direct None 3.087620e+02
## 906 Male 80 - 84 PFAS Direct None 4.177368e+02
## 907 Female 85+ PFAS Direct None 3.087620e+02
## 908 Male 85+ PFAS Direct None 4.177368e+02
## 909 Female 0 - 4 TEQ Direct None 5.425332e+01
## 910 Male 0 - 4 TEQ Direct None 7.340156e+01
## 911 Female 5 - 9 TEQ Direct None 9.782083e+01
## 912 Male 5 - 9 TEQ Direct None 1.323458e+02
## 913 Female 10 - 14 TEQ Direct None 1.601890e+02
## 914 Male 10 - 14 TEQ Direct None 2.167264e+02
## 915 Female 15 - 19 TEQ Direct None 1.601890e+02
## 916 Male 15 - 19 TEQ Direct None 2.167264e+02
## 917 Female 20 - 24 TEQ Direct None 3.018922e+02
## 918 Male 20 - 24 TEQ Direct None 4.084424e+02
## 919 Female 25 - 29 TEQ Direct None 3.018922e+02
## 920 Male 25 - 29 TEQ Direct None 4.084424e+02
## 921 Female 30 - 34 TEQ Direct None 3.018922e+02
## 922 Male 30 - 34 TEQ Direct None 4.084424e+02
## 923 Female 35 - 39 TEQ Direct None 3.018922e+02
## 924 Male 35 - 39 TEQ Direct None 4.084424e+02
## 925 Female 40 - 44 TEQ Direct None 3.018922e+02
## 926 Male 40 - 44 TEQ Direct None 4.084424e+02
## 927 Female 45 - 49 TEQ Direct None 3.018922e+02
## 928 Male 45 - 49 TEQ Direct None 4.084424e+02
## 929 Female 50 - 54 TEQ Direct None 3.018922e+02
## 930 Male 50 - 54 TEQ Direct None 4.084424e+02
## 931 Female 55 - 59 TEQ Direct None 3.018922e+02
## 932 Male 55 - 59 TEQ Direct None 4.084424e+02
## 933 Female 60 - 64 TEQ Direct None 3.018922e+02
## 934 Male 60 - 64 TEQ Direct None 4.084424e+02
## 935 Female 65 - 69 TEQ Direct None 5.412734e+02
## 936 Male 65 - 69 TEQ Direct None 7.323111e+02
## 937 Female 70 - 74 TEQ Direct None 5.412734e+02
## 938 Male 70 - 74 TEQ Direct None 7.323111e+02
## 939 Female 75 - 79 TEQ Direct None 5.412734e+02
## 940 Male 75 - 79 TEQ Direct None 7.323111e+02
## 941 Female 80 - 84 TEQ Direct None 5.412734e+02
## 942 Male 80 - 84 TEQ Direct None 7.323111e+02
## 943 Female 85+ TEQ Direct None 5.412734e+02
## 944 Male 85+ TEQ Direct None 7.323111e+02
## 945 Female 0 - 4 Vitamin D Direct None 3.365585e+00
## 946 Male 0 - 4 Vitamin D Direct None 5.193882e+00
## 947 Female 5 - 9 Vitamin D Direct None 4.567127e+00
## 948 Male 5 - 9 Vitamin D Direct None 6.819497e+00
## 949 Female 10 - 14 Vitamin D Direct None 4.467767e+00
## 950 Male 10 - 14 Vitamin D Direct None 6.685069e+00
## 951 Female 15 - 19 Vitamin D Direct None 4.467767e+00
## 952 Male 15 - 19 Vitamin D Direct None 6.685069e+00
## 953 Female 20 - 24 Vitamin D Direct None 5.526103e+00
## 954 Male 20 - 24 Vitamin D Direct None 8.116936e+00
## 955 Female 25 - 29 Vitamin D Direct None 5.526103e+00
## 956 Male 25 - 29 Vitamin D Direct None 8.116936e+00
## 957 Female 30 - 34 Vitamin D Direct None 5.526103e+00
## 958 Male 30 - 34 Vitamin D Direct None 8.116936e+00
## 959 Female 35 - 39 Vitamin D Direct None 5.526103e+00
## 960 Male 35 - 39 Vitamin D Direct None 8.116936e+00
## 961 Female 40 - 44 Vitamin D Direct None 5.526103e+00
## 962 Male 40 - 44 Vitamin D Direct None 8.116936e+00
## 963 Female 45 - 49 Vitamin D Direct None 5.526103e+00
## 964 Male 45 - 49 Vitamin D Direct None 8.116936e+00
## 965 Female 50 - 54 Vitamin D Direct None 5.526103e+00
## 966 Male 50 - 54 Vitamin D Direct None 8.116936e+00
## 967 Female 55 - 59 Vitamin D Direct None 5.526103e+00
## 968 Male 55 - 59 Vitamin D Direct None 8.116936e+00
## 969 Female 60 - 64 Vitamin D Direct None 5.526103e+00
## 970 Male 60 - 64 Vitamin D Direct None 8.116936e+00
## 971 Female 65 - 69 Vitamin D Direct None 6.273107e+00
## 972 Male 65 - 69 Vitamin D Direct None 9.127589e+00
## 973 Female 70 - 74 Vitamin D Direct None 6.273107e+00
## 974 Male 70 - 74 Vitamin D Direct None 9.127589e+00
## 975 Female 75 - 79 Vitamin D Direct None 6.273107e+00
## 976 Male 75 - 79 Vitamin D Direct None 9.127589e+00
## 977 Female 80 - 84 Vitamin D Direct None 6.273107e+00
## 978 Male 80 - 84 Vitamin D Direct None 9.127589e+00
## 979 Female 85+ Vitamin D Direct None 6.273107e+00
## 980 Male 85+ Vitamin D Direct None 9.127589e+00
## 981 Female 0 - 4 PFAS To child None 1.346139e+01
## 982 Male 0 - 4 PFAS To child None 1.346139e+01
## 983 Female 0 - 4 TEQ To child None 4.039597e+01
## 984 Male 0 - 4 TEQ To child None 4.039597e+01oprint(summary(ERF,"mean"))## Exposure_agent Response
## 1 Fish All-cause mortality
## 2 Omega3 Breast cancer
## 3 Fish Depression
## 4 DHA Loss in child's IQ points
## 5 TEQ Sperm concentration
## 6 TEQ Yes or no dental defect
## 7 Omega3 CHD2 mortality
## 8 Vitamin D Vitamin D recommendation
## 9 MeHg Loss in child's IQ points
## 10 PFAS Immunosuppression
## 11 PFAS PFAS TWI
## 12 TEQ Cancer morbidity yearly
## 13 TEQ Dioxin recommendation tolerable daily intake 2018
## 14 Fish All-cause mortality
## 15 Omega3 Breast cancer
## 16 Fish Depression
## 17 DHA Loss in child's IQ points
## 18 TEQ Sperm concentration
## 19 TEQ Yes or no dental defect
## 20 Omega3 CHD2 mortality
## 21 Vitamin D Vitamin D recommendation
## 22 MeHg Loss in child's IQ points
## 23 PFAS Immunosuppression
## 24 PFAS PFAS TWI
## 25 TEQ Cancer morbidity yearly
## 26 TEQ Dioxin recommendation tolerable daily intake 2018
## ER_function Scaling Observation mean
## 1 RR None ERF 9.978595e-01
## 2 RR None ERF 9.994762e-01
## 3 RR None ERF 9.946188e-01
## 4 ERS None ERF -1.306489e-03
## 5 ERS None ERF 6.000075e-05
## 6 ERS None ERF 1.413162e-03
## 7 Relative Hill None ERF -1.700291e-01
## 8 Step None ERF 1.000000e+02
## 9 ERS BW ERF 9.659261e+00
## 10 ERS BW ERF 2.270000e-02
## 11 TWI BW ERF 4.400000e+00
## 12 CSF BW ERF 9.967577e-06
## 13 TDI BW ERF 2.889000e-01
## 14 RR None Threshold 0.000000e+00
## 15 RR None Threshold 0.000000e+00
## 16 RR None Threshold 0.000000e+00
## 17 ERS None Threshold 0.000000e+00
## 18 ERS None Threshold 0.000000e+00
## 19 ERS None Threshold 0.000000e+00
## 20 Relative Hill None Threshold 4.700000e+01
## 21 Step None Threshold 1.000000e+01
## 22 ERS BW Threshold 0.000000e+00
## 23 ERS BW Threshold 0.000000e+00
## 24 TWI BW Threshold 0.000000e+00
## 25 CSF BW Threshold 0.000000e+00
## 26 TDI BW Threshold 0.000000e+00oprint(summary(expo_dir,"mean"))## Gender Age Exposure_agent mean
## 1 Female 0 - 4 ALA 21.4337074
## 2 Male 0 - 4 ALA 28.9985453
## 3 Female 5 - 9 ALA 39.6865892
## 4 Male 5 - 9 ALA 53.6936207
## 5 Female 10 - 14 ALA 60.3859645
## 6 Male 10 - 14 ALA 81.6986578
## 7 Female 15 - 19 ALA 60.3859645
## 8 Male 15 - 19 ALA 81.6986578
## 9 Female 20 - 24 ALA 99.7525088
## 10 Male 20 - 24 ALA 134.9592767
## 11 Female 25 - 29 ALA 99.7525088
## 12 Male 25 - 29 ALA 134.9592767
## 13 Female 30 - 34 ALA 99.7525088
## 14 Male 30 - 34 ALA 134.9592767
## 15 Female 35 - 39 ALA 99.7525088
## 16 Male 35 - 39 ALA 134.9592767
## 17 Female 40 - 44 ALA 99.7525088
## 18 Male 40 - 44 ALA 134.9592767
## 19 Female 45 - 49 ALA 99.7525088
## 20 Male 45 - 49 ALA 134.9592767
## 21 Female 50 - 54 ALA 99.7525088
## 22 Male 50 - 54 ALA 134.9592767
## 23 Female 55 - 59 ALA 99.7525088
## 24 Male 55 - 59 ALA 134.9592767
## 25 Female 60 - 64 ALA 99.7525088
## 26 Male 60 - 64 ALA 134.9592767
## 27 Female 65 - 69 ALA 138.5860138
## 28 Male 65 - 69 ALA 187.4987246
## 29 Female 70 - 74 ALA 138.5860138
## 30 Male 70 - 74 ALA 187.4987246
## 31 Female 75 - 79 ALA 138.5860138
## 32 Male 75 - 79 ALA 187.4987246
## 33 Female 80 - 84 ALA 138.5860138
## 34 Male 80 - 84 ALA 187.4987246
## 35 Female 85+ ALA 138.5860138
## 36 Male 85+ ALA 187.4987246
## 37 Female 0 - 4 DHA 55.5313401
## 38 Male 0 - 4 DHA 76.5297273
## 39 Female 5 - 9 DHA 91.8105802
## 40 Male 5 - 9 DHA 125.6134050
## 41 Female 10 - 14 DHA 103.9070801
## 42 Male 10 - 14 DHA 141.9792579
## 43 Female 15 - 19 DHA 103.9070801
## 44 Male 15 - 19 DHA 141.9792579
## 45 Female 20 - 24 DHA 150.9747434
## 46 Male 20 - 24 DHA 205.6590377
## 47 Female 25 - 29 DHA 150.9747434
## 48 Male 25 - 29 DHA 205.6590377
## 49 Female 30 - 34 DHA 150.9747434
## 50 Male 30 - 34 DHA 205.6590377
## 51 Female 35 - 39 DHA 150.9747434
## 52 Male 35 - 39 DHA 205.6590377
## 53 Female 40 - 44 DHA 150.9747434
## 54 Male 40 - 44 DHA 205.6590377
## 55 Female 45 - 49 DHA 150.9747434
## 56 Male 45 - 49 DHA 205.6590377
## 57 Female 50 - 54 DHA 150.9747434
## 58 Male 50 - 54 DHA 205.6590377
## 59 Female 55 - 59 DHA 150.9747434
## 60 Male 55 - 59 DHA 205.6590377
## 61 Female 60 - 64 DHA 150.9747434
## 62 Male 60 - 64 DHA 205.6590377
## 63 Female 65 - 69 DHA 194.8920588
## 64 Male 65 - 69 DHA 265.0765820
## 65 Female 70 - 74 DHA 194.8920588
## 66 Male 70 - 74 DHA 265.0765820
## 67 Female 75 - 79 DHA 194.8920588
## 68 Male 75 - 79 DHA 265.0765820
## 69 Female 80 - 84 DHA 194.8920588
## 70 Male 80 - 84 DHA 265.0765820
## 71 Female 85+ DHA 194.8920588
## 72 Male 85+ DHA 265.0765820
## 73 Female 0 - 4 EPA 29.7100701
## 74 Male 0 - 4 EPA 43.4721516
## 75 Female 5 - 9 EPA 29.7100701
## 76 Male 5 - 9 EPA 43.4721516
## 77 Female 10 - 14 EPA 29.7100701
## 78 Male 10 - 14 EPA 43.4721516
## 79 Female 15 - 19 EPA 29.7100701
## 80 Male 15 - 19 EPA 43.4721516
## 81 Female 20 - 24 EPA 29.7100701
## 82 Male 20 - 24 EPA 43.4721516
## 83 Female 25 - 29 EPA 29.7100701
## 84 Male 25 - 29 EPA 43.4721516
## 85 Female 30 - 34 EPA 29.7100701
## 86 Male 30 - 34 EPA 43.4721516
## 87 Female 35 - 39 EPA 29.7100701
## 88 Male 35 - 39 EPA 43.4721516
## 89 Female 40 - 44 EPA 29.7100701
## 90 Male 40 - 44 EPA 43.4721516
## 91 Female 45 - 49 EPA 29.7100701
## 92 Male 45 - 49 EPA 43.4721516
## 93 Female 50 - 54 EPA 29.7100701
## 94 Male 50 - 54 EPA 43.4721516
## 95 Female 55 - 59 EPA 29.7100701
## 96 Male 55 - 59 EPA 43.4721516
## 97 Female 60 - 64 EPA 29.7100701
## 98 Male 60 - 64 EPA 43.4721516
## 99 Female 65 - 69 EPA 29.7100701
## 100 Male 65 - 69 EPA 43.4721516
## 101 Female 70 - 74 EPA 29.7100701
## 102 Male 70 - 74 EPA 43.4721516
## 103 Female 75 - 79 EPA 29.7100701
## 104 Male 75 - 79 EPA 43.4721516
## 105 Female 80 - 84 EPA 29.7100701
## 106 Male 80 - 84 EPA 43.4721516
## 107 Female 85+ EPA 29.7100701
## 108 Male 85+ EPA 43.4721516
## 109 Female 0 - 4 Fish 5.7621802
## 110 Male 0 - 4 Fish 7.7958909
## 111 Female 5 - 9 Fish 17.5698850
## 112 Male 5 - 9 Fish 23.7710209
## 113 Female 10 - 14 Fish 17.6141458
## 114 Male 10 - 14 Fish 23.8309032
## 115 Female 15 - 19 Fish 17.6141458
## 116 Male 15 - 19 Fish 23.8309032
## 117 Female 20 - 24 Fish 27.6701889
## 118 Male 20 - 24 Fish 37.4361379
## 119 Female 25 - 29 Fish 27.6701889
## 120 Male 25 - 29 Fish 37.4361379
## 121 Female 30 - 34 Fish 27.6701889
## 122 Male 30 - 34 Fish 37.4361379
## 123 Female 35 - 39 Fish 27.6701889
## 124 Male 35 - 39 Fish 37.4361379
## 125 Female 40 - 44 Fish 27.6701889
## 126 Male 40 - 44 Fish 37.4361379
## 127 Female 45 - 49 Fish 27.6701889
## 128 Male 45 - 49 Fish 37.4361379
## 129 Female 50 - 54 Fish 27.6701889
## 130 Male 50 - 54 Fish 37.4361379
## 131 Female 55 - 59 Fish 27.6701889
## 132 Male 55 - 59 Fish 37.4361379
## 133 Female 60 - 64 Fish 27.6701889
## 134 Male 60 - 64 Fish 37.4361379
## 135 Female 65 - 69 Fish 35.7717063
## 136 Male 65 - 69 Fish 48.3970145
## 137 Female 70 - 74 Fish 35.7717063
## 138 Male 70 - 74 Fish 48.3970145
## 139 Female 75 - 79 Fish 35.7717063
## 140 Male 75 - 79 Fish 48.3970145
## 141 Female 80 - 84 Fish 35.7717063
## 142 Male 80 - 84 Fish 48.3970145
## 143 Female 85+ Fish 35.7717063
## 144 Male 85+ Fish 48.3970145
## 145 Female 0 - 4 MeHg 0.5971765
## 146 Male 0 - 4 MeHg 0.8079447
## 147 Female 5 - 9 MeHg 1.3270854
## 148 Male 5 - 9 MeHg 1.7954684
## 149 Female 10 - 14 MeHg 1.6315120
## 150 Male 10 - 14 MeHg 2.2073398
## 151 Female 15 - 19 MeHg 1.6315120
## 152 Male 15 - 19 MeHg 2.2073398
## 153 Female 20 - 24 MeHg 2.8284141
## 154 Male 20 - 24 MeHg 3.8266780
## 155 Female 25 - 29 MeHg 2.8284141
## 156 Male 25 - 29 MeHg 3.8266780
## 157 Female 30 - 34 MeHg 2.8284141
## 158 Male 30 - 34 MeHg 3.8266780
## 159 Female 35 - 39 MeHg 2.8284141
## 160 Male 35 - 39 MeHg 3.8266780
## 161 Female 40 - 44 MeHg 2.8284141
## 162 Male 40 - 44 MeHg 3.8266780
## 163 Female 45 - 49 MeHg 2.8284141
## 164 Male 45 - 49 MeHg 3.8266780
## 165 Female 50 - 54 MeHg 2.8284141
## 166 Male 50 - 54 MeHg 3.8266780
## 167 Female 55 - 59 MeHg 2.8284141
## 168 Male 55 - 59 MeHg 3.8266780
## 169 Female 60 - 64 MeHg 2.8284141
## 170 Male 60 - 64 MeHg 3.8266780
## 171 Female 65 - 69 MeHg 3.7425454
## 172 Male 65 - 69 MeHg 5.0634437
## 173 Female 70 - 74 MeHg 3.7425454
## 174 Male 70 - 74 MeHg 5.0634437
## 175 Female 75 - 79 MeHg 3.7425454
## 176 Male 75 - 79 MeHg 5.0634437
## 177 Female 80 - 84 MeHg 3.7425454
## 178 Male 80 - 84 MeHg 5.0634437
## 179 Female 85+ MeHg 3.7425454
## 180 Male 85+ MeHg 5.0634437
## 181 Female 0 - 4 Omega3 141.4674764
## 182 Male 0 - 4 Omega3 192.7261932
## 183 Female 5 - 9 Omega3 248.8196536
## 184 Male 5 - 9 Omega3 337.9673743
## 185 Female 10 - 14 Omega3 295.6121154
## 186 Male 10 - 14 Omega3 401.2748226
## 187 Female 15 - 19 Omega3 295.6121154
## 188 Male 15 - 19 Omega3 401.2748226
## 189 Female 20 - 24 Omega3 443.9103092
## 190 Male 20 - 24 Omega3 601.9135554
## 191 Female 25 - 29 Omega3 443.9103092
## 192 Male 25 - 29 Omega3 601.9135554
## 193 Female 30 - 34 Omega3 443.9103092
## 194 Male 30 - 34 Omega3 601.9135554
## 195 Female 35 - 39 Omega3 443.9103092
## 196 Male 35 - 39 Omega3 601.9135554
## 197 Female 40 - 44 Omega3 443.9103092
## 198 Male 40 - 44 Omega3 601.9135554
## 199 Female 45 - 49 Omega3 443.9103092
## 200 Male 45 - 49 Omega3 601.9135554
## 201 Female 50 - 54 Omega3 443.9103092
## 202 Male 50 - 54 Omega3 601.9135554
## 203 Female 55 - 59 Omega3 443.9103092
## 204 Male 55 - 59 Omega3 601.9135554
## 205 Female 60 - 64 Omega3 443.9103092
## 206 Male 60 - 64 Omega3 601.9135554
## 207 Female 65 - 69 Omega3 599.1340842
## 208 Male 65 - 69 Omega3 811.9221921
## 209 Female 70 - 74 Omega3 599.1340842
## 210 Male 70 - 74 Omega3 811.9221921
## 211 Female 75 - 79 Omega3 599.1340842
## 212 Male 75 - 79 Omega3 811.9221921
## 213 Female 80 - 84 Omega3 599.1340842
## 214 Male 80 - 84 Omega3 811.9221921
## 215 Female 85+ Omega3 599.1340842
## 216 Male 85+ Omega3 811.9221921
## 217 Female 0 - 4 PFAS 47.2495764
## 218 Male 0 - 4 PFAS 63.9258974
## 219 Female 5 - 9 PFAS 149.4611117
## 220 Male 5 - 9 PFAS 202.2120924
## 221 Female 10 - 14 PFAS 151.7132151
## 222 Male 10 - 14 PFAS 205.2590557
## 223 Female 15 - 19 PFAS 151.7132151
## 224 Male 15 - 19 PFAS 205.2590557
## 225 Female 20 - 24 PFAS 230.7378180
## 226 Male 20 - 24 PFAS 312.1746949
## 227 Female 25 - 29 PFAS 230.7378180
## 228 Male 25 - 29 PFAS 312.1746949
## 229 Female 30 - 34 PFAS 230.7378180
## 230 Male 30 - 34 PFAS 312.1746949
## 231 Female 35 - 39 PFAS 230.7378180
## 232 Male 35 - 39 PFAS 312.1746949
## 233 Female 40 - 44 PFAS 230.7378180
## 234 Male 40 - 44 PFAS 312.1746949
## 235 Female 45 - 49 PFAS 230.7378180
## 236 Male 45 - 49 PFAS 312.1746949
## 237 Female 50 - 54 PFAS 230.7378180
## 238 Male 50 - 54 PFAS 312.1746949
## 239 Female 55 - 59 PFAS 230.7378180
## 240 Male 55 - 59 PFAS 312.1746949
## 241 Female 60 - 64 PFAS 230.7378180
## 242 Male 60 - 64 PFAS 312.1746949
## 243 Female 65 - 69 PFAS 308.7619762
## 244 Male 65 - 69 PFAS 417.7367914
## 245 Female 70 - 74 PFAS 308.7619762
## 246 Male 70 - 74 PFAS 417.7367914
## 247 Female 75 - 79 PFAS 308.7619762
## 248 Male 75 - 79 PFAS 417.7367914
## 249 Female 80 - 84 PFAS 308.7619762
## 250 Male 80 - 84 PFAS 417.7367914
## 251 Female 85+ PFAS 308.7619762
## 252 Male 85+ PFAS 417.7367914
## 253 Female 0 - 4 TEQ 54.2533243
## 254 Male 0 - 4 TEQ 73.4015564
## 255 Female 5 - 9 TEQ 97.8208278
## 256 Male 5 - 9 TEQ 132.3458259
## 257 Female 10 - 14 TEQ 160.1890499
## 258 Male 10 - 14 TEQ 216.7263616
## 259 Female 15 - 19 TEQ 160.1890499
## 260 Male 15 - 19 TEQ 216.7263616
## 261 Female 20 - 24 TEQ 301.8922163
## 262 Male 20 - 24 TEQ 408.4424103
## 263 Female 25 - 29 TEQ 301.8922163
## 264 Male 25 - 29 TEQ 408.4424103
## 265 Female 30 - 34 TEQ 301.8922163
## 266 Male 30 - 34 TEQ 408.4424103
## 267 Female 35 - 39 TEQ 301.8922163
## 268 Male 35 - 39 TEQ 408.4424103
## 269 Female 40 - 44 TEQ 301.8922163
## 270 Male 40 - 44 TEQ 408.4424103
## 271 Female 45 - 49 TEQ 301.8922163
## 272 Male 45 - 49 TEQ 408.4424103
## 273 Female 50 - 54 TEQ 301.8922163
## 274 Male 50 - 54 TEQ 408.4424103
## 275 Female 55 - 59 TEQ 301.8922163
## 276 Male 55 - 59 TEQ 408.4424103
## 277 Female 60 - 64 TEQ 301.8922163
## 278 Male 60 - 64 TEQ 408.4424103
## 279 Female 65 - 69 TEQ 541.2734024
## 280 Male 65 - 69 TEQ 732.3110739
## 281 Female 70 - 74 TEQ 541.2734024
## 282 Male 70 - 74 TEQ 732.3110739
## 283 Female 75 - 79 TEQ 541.2734024
## 284 Male 75 - 79 TEQ 732.3110739
## 285 Female 80 - 84 TEQ 541.2734024
## 286 Male 80 - 84 TEQ 732.3110739
## 287 Female 85+ TEQ 541.2734024
## 288 Male 85+ TEQ 732.3110739
## 289 Female 0 - 4 Vitamin D 3.3655848
## 290 Male 0 - 4 Vitamin D 5.1938819
## 291 Female 5 - 9 Vitamin D 4.5671267
## 292 Male 5 - 9 Vitamin D 6.8194974
## 293 Female 10 - 14 Vitamin D 4.4677666
## 294 Male 10 - 14 Vitamin D 6.6850691
## 295 Female 15 - 19 Vitamin D 4.4677666
## 296 Male 15 - 19 Vitamin D 6.6850691
## 297 Female 20 - 24 Vitamin D 5.5261030
## 298 Male 20 - 24 Vitamin D 8.1169360
## 299 Female 25 - 29 Vitamin D 5.5261030
## 300 Male 25 - 29 Vitamin D 8.1169360
## 301 Female 30 - 34 Vitamin D 5.5261030
## 302 Male 30 - 34 Vitamin D 8.1169360
## 303 Female 35 - 39 Vitamin D 5.5261030
## 304 Male 35 - 39 Vitamin D 8.1169360
## 305 Female 40 - 44 Vitamin D 5.5261030
## 306 Male 40 - 44 Vitamin D 8.1169360
## 307 Female 45 - 49 Vitamin D 5.5261030
## 308 Male 45 - 49 Vitamin D 8.1169360
## 309 Female 50 - 54 Vitamin D 5.5261030
## 310 Male 50 - 54 Vitamin D 8.1169360
## 311 Female 55 - 59 Vitamin D 5.5261030
## 312 Male 55 - 59 Vitamin D 8.1169360
## 313 Female 60 - 64 Vitamin D 5.5261030
## 314 Male 60 - 64 Vitamin D 8.1169360
## 315 Female 65 - 69 Vitamin D 6.2731073
## 316 Male 65 - 69 Vitamin D 9.1275888
## 317 Female 70 - 74 Vitamin D 6.2731073
## 318 Male 70 - 74 Vitamin D 9.1275888
## 319 Female 75 - 79 Vitamin D 6.2731073
## 320 Male 75 - 79 Vitamin D 9.1275888
## 321 Female 80 - 84 Vitamin D 6.2731073
## 322 Male 80 - 84 Vitamin D 9.1275888
## 323 Female 85+ Vitamin D 6.2731073
## 324 Male 85+ Vitamin D 9.1275888oprint(summary(expo_dir,marginals="Exposure_agent"))## Exposure_agent mean sd min Q0.025 median
## 1 ALA 115.855874 261.262993 0.000000e+00 0.0000000 0.000000
## 2 DHA 176.411249 258.069683 1.758942e-04 3.4334285 64.772856
## 3 EPA 36.591111 22.326449 5.640929e-02 1.8609909 35.280707
## 4 Fish 31.794156 54.761899 0.000000e+00 0.0000000 0.000000
## 5 MeHg 3.225865 6.881612 0.000000e+00 0.0000000 0.000000
## 6 Omega3 521.734743 851.257430 1.272163e-01 6.6898725 134.685017
## 7 PFAS 269.319435 643.381952 0.000000e+00 0.0000000 0.000000
## 8 TEQ 385.349622 1095.053634 0.000000e+00 0.0000000 0.000000
## 9 Vitamin D 6.723405 6.145554 1.841267e-05 0.3059591 5.139873
## Q0.975 max
## 1 955.26903 3844.68000
## 2 972.25417 3275.96222
## 3 81.06874 84.99556
## 4 186.87500 483.00000
## 5 24.17034 91.19623
## 6 3193.24906 11161.25027
## 7 1891.95351 11270.57710
## 8 2977.29742 18737.56553
## 9 23.06482 58.56516oprint(summary(expo_indir,"mean"))## Gender Age Exposure_agent Exposure mean
## 1 Female 0 - 4 PFAS To child 2.798839
## 2 Male 0 - 4 PFAS To child 3.786665
## 3 Female 5 - 9 PFAS To child 8.813907
## 4 Male 5 - 9 PFAS To child 11.924698
## 5 Female 10 - 14 PFAS To child 8.970467
## 6 Male 10 - 14 PFAS To child 12.136514
## 7 Female 15 - 19 PFAS To child 8.970467
## 8 Male 15 - 19 PFAS To child 12.136514
## 9 Female 20 - 24 PFAS To child 13.461386
## 10 Male 20 - 24 PFAS To child 18.212464
## 11 Female 25 - 29 PFAS To child 13.461386
## 12 Male 25 - 29 PFAS To child 18.212464
## 13 Female 30 - 34 PFAS To child 13.461386
## 14 Male 30 - 34 PFAS To child 18.212464
## 15 Female 35 - 39 PFAS To child 13.461386
## 16 Male 35 - 39 PFAS To child 18.212464
## 17 Female 40 - 44 PFAS To child 13.461386
## 18 Male 40 - 44 PFAS To child 18.212464
## 19 Female 45 - 49 PFAS To child 13.461386
## 20 Male 45 - 49 PFAS To child 18.212464
## 21 Female 50 - 54 PFAS To child 13.461386
## 22 Male 50 - 54 PFAS To child 18.212464
## 23 Female 55 - 59 PFAS To child 13.461386
## 24 Male 55 - 59 PFAS To child 18.212464
## 25 Female 60 - 64 PFAS To child 13.461386
## 26 Male 60 - 64 PFAS To child 18.212464
## 27 Female 65 - 69 PFAS To child 18.293769
## 28 Male 65 - 69 PFAS To child 24.750394
## 29 Female 70 - 74 PFAS To child 18.293769
## 30 Male 70 - 74 PFAS To child 24.750394
## 31 Female 75 - 79 PFAS To child 18.293769
## 32 Male 75 - 79 PFAS To child 24.750394
## 33 Female 80 - 84 PFAS To child 18.293769
## 34 Male 80 - 84 PFAS To child 24.750394
## 35 Female 85+ PFAS To child 18.293769
## 36 Male 85+ PFAS To child 24.750394
## 37 Female 0 - 4 TEQ To child 7.235977
## 38 Male 0 - 4 TEQ To child 9.789851
## 39 Female 5 - 9 TEQ To child 13.026674
## 40 Male 5 - 9 TEQ To child 17.624323
## 41 Female 10 - 14 TEQ To child 20.566721
## 42 Male 10 - 14 TEQ To child 27.825564
## 43 Female 15 - 19 TEQ To child 20.566721
## 44 Male 15 - 19 TEQ To child 27.825564
## 45 Female 20 - 24 TEQ To child 40.395969
## 46 Male 20 - 24 TEQ To child 54.653369
## 47 Female 25 - 29 TEQ To child 40.395969
## 48 Male 25 - 29 TEQ To child 54.653369
## 49 Female 30 - 34 TEQ To child 40.395969
## 50 Male 30 - 34 TEQ To child 54.653369
## 51 Female 35 - 39 TEQ To child 40.395969
## 52 Male 35 - 39 TEQ To child 54.653369
## 53 Female 40 - 44 TEQ To child 40.395969
## 54 Male 40 - 44 TEQ To child 54.653369
## 55 Female 45 - 49 TEQ To child 40.395969
## 56 Male 45 - 49 TEQ To child 54.653369
## 57 Female 50 - 54 TEQ To child 40.395969
## 58 Male 50 - 54 TEQ To child 54.653369
## 59 Female 55 - 59 TEQ To child 40.395969
## 60 Male 55 - 59 TEQ To child 54.653369
## 61 Female 60 - 64 TEQ To child 40.395969
## 62 Male 60 - 64 TEQ To child 54.653369
## 63 Female 65 - 69 TEQ To child 72.655053
## 64 Male 65 - 69 TEQ To child 98.298013
## 65 Female 70 - 74 TEQ To child 72.655053
## 66 Male 70 - 74 TEQ To child 98.298013
## 67 Female 75 - 79 TEQ To child 72.655053
## 68 Male 75 - 79 TEQ To child 98.298013
## 69 Female 80 - 84 TEQ To child 72.655053
## 70 Male 80 - 84 TEQ To child 98.298013
## 71 Female 85+ TEQ To child 72.655053
## 72 Male 85+ TEQ To child 98.298013oprint(summary(exposure,"mean"))## Gender Age Exposure_agent Exposure mean
## 1 Female 0 - 4 ALA Direct 21.4337074
## 2 Male 0 - 4 ALA Direct 28.9985453
## 3 Female 5 - 9 ALA Direct 39.6865892
## 4 Male 5 - 9 ALA Direct 53.6936207
## 5 Female 10 - 14 ALA Direct 60.3859645
## 6 Male 10 - 14 ALA Direct 81.6986578
## 7 Female 15 - 19 ALA Direct 60.3859645
## 8 Male 15 - 19 ALA Direct 81.6986578
## 9 Female 20 - 24 ALA Direct 99.7525088
## 10 Male 20 - 24 ALA Direct 134.9592767
## 11 Female 25 - 29 ALA Direct 99.7525088
## 12 Male 25 - 29 ALA Direct 134.9592767
## 13 Female 30 - 34 ALA Direct 99.7525088
## 14 Male 30 - 34 ALA Direct 134.9592767
## 15 Female 35 - 39 ALA Direct 99.7525088
## 16 Male 35 - 39 ALA Direct 134.9592767
## 17 Female 40 - 44 ALA Direct 99.7525088
## 18 Male 40 - 44 ALA Direct 134.9592767
## 19 Female 45 - 49 ALA Direct 99.7525088
## 20 Male 45 - 49 ALA Direct 134.9592767
## 21 Female 50 - 54 ALA Direct 99.7525088
## 22 Male 50 - 54 ALA Direct 134.9592767
## 23 Female 55 - 59 ALA Direct 99.7525088
## 24 Male 55 - 59 ALA Direct 134.9592767
## 25 Female 60 - 64 ALA Direct 99.7525088
## 26 Male 60 - 64 ALA Direct 134.9592767
## 27 Female 65 - 69 ALA Direct 138.5860138
## 28 Male 65 - 69 ALA Direct 187.4987246
## 29 Female 70 - 74 ALA Direct 138.5860138
## 30 Male 70 - 74 ALA Direct 187.4987246
## 31 Female 75 - 79 ALA Direct 138.5860138
## 32 Male 75 - 79 ALA Direct 187.4987246
## 33 Female 80 - 84 ALA Direct 138.5860138
## 34 Male 80 - 84 ALA Direct 187.4987246
## 35 Female 85+ ALA Direct 138.5860138
## 36 Male 85+ ALA Direct 187.4987246
## 37 Female 0 - 4 DHA Direct 55.5313401
## 38 Male 0 - 4 DHA Direct 76.5297273
## 39 Female 5 - 9 DHA Direct 91.8105802
## 40 Male 5 - 9 DHA Direct 125.6134050
## 41 Female 10 - 14 DHA Direct 103.9070801
## 42 Male 10 - 14 DHA Direct 141.9792579
## 43 Female 15 - 19 DHA Direct 103.9070801
## 44 Male 15 - 19 DHA Direct 141.9792579
## 45 Female 20 - 24 DHA Direct 150.9747434
## 46 Male 20 - 24 DHA Direct 205.6590377
## 47 Female 25 - 29 DHA Direct 150.9747434
## 48 Male 25 - 29 DHA Direct 205.6590377
## 49 Female 30 - 34 DHA Direct 150.9747434
## 50 Male 30 - 34 DHA Direct 205.6590377
## 51 Female 35 - 39 DHA Direct 150.9747434
## 52 Male 35 - 39 DHA Direct 205.6590377
## 53 Female 40 - 44 DHA Direct 150.9747434
## 54 Male 40 - 44 DHA Direct 205.6590377
## 55 Female 45 - 49 DHA Direct 150.9747434
## 56 Male 45 - 49 DHA Direct 205.6590377
## 57 Female 50 - 54 DHA Direct 150.9747434
## 58 Male 50 - 54 DHA Direct 205.6590377
## 59 Female 55 - 59 DHA Direct 150.9747434
## 60 Male 55 - 59 DHA Direct 205.6590377
## 61 Female 60 - 64 DHA Direct 150.9747434
## 62 Male 60 - 64 DHA Direct 205.6590377
## 63 Female 65 - 69 DHA Direct 194.8920588
## 64 Male 65 - 69 DHA Direct 265.0765820
## 65 Female 70 - 74 DHA Direct 194.8920588
## 66 Male 70 - 74 DHA Direct 265.0765820
## 67 Female 75 - 79 DHA Direct 194.8920588
## 68 Male 75 - 79 DHA Direct 265.0765820
## 69 Female 80 - 84 DHA Direct 194.8920588
## 70 Male 80 - 84 DHA Direct 265.0765820
## 71 Female 85+ DHA Direct 194.8920588
## 72 Male 85+ DHA Direct 265.0765820
## 73 Female 0 - 4 EPA Direct 29.7100701
## 74 Male 0 - 4 EPA Direct 43.4721516
## 75 Female 5 - 9 EPA Direct 29.7100701
## 76 Male 5 - 9 EPA Direct 43.4721516
## 77 Female 10 - 14 EPA Direct 29.7100701
## 78 Male 10 - 14 EPA Direct 43.4721516
## 79 Female 15 - 19 EPA Direct 29.7100701
## 80 Male 15 - 19 EPA Direct 43.4721516
## 81 Female 20 - 24 EPA Direct 29.7100701
## 82 Male 20 - 24 EPA Direct 43.4721516
## 83 Female 25 - 29 EPA Direct 29.7100701
## 84 Male 25 - 29 EPA Direct 43.4721516
## 85 Female 30 - 34 EPA Direct 29.7100701
## 86 Male 30 - 34 EPA Direct 43.4721516
## 87 Female 35 - 39 EPA Direct 29.7100701
## 88 Male 35 - 39 EPA Direct 43.4721516
## 89 Female 40 - 44 EPA Direct 29.7100701
## 90 Male 40 - 44 EPA Direct 43.4721516
## 91 Female 45 - 49 EPA Direct 29.7100701
## 92 Male 45 - 49 EPA Direct 43.4721516
## 93 Female 50 - 54 EPA Direct 29.7100701
## 94 Male 50 - 54 EPA Direct 43.4721516
## 95 Female 55 - 59 EPA Direct 29.7100701
## 96 Male 55 - 59 EPA Direct 43.4721516
## 97 Female 60 - 64 EPA Direct 29.7100701
## 98 Male 60 - 64 EPA Direct 43.4721516
## 99 Female 65 - 69 EPA Direct 29.7100701
## 100 Male 65 - 69 EPA Direct 43.4721516
## 101 Female 70 - 74 EPA Direct 29.7100701
## 102 Male 70 - 74 EPA Direct 43.4721516
## 103 Female 75 - 79 EPA Direct 29.7100701
## 104 Male 75 - 79 EPA Direct 43.4721516
## 105 Female 80 - 84 EPA Direct 29.7100701
## 106 Male 80 - 84 EPA Direct 43.4721516
## 107 Female 85+ EPA Direct 29.7100701
## 108 Male 85+ EPA Direct 43.4721516
## 109 Female 0 - 4 Fish Direct 5.7621802
## 110 Male 0 - 4 Fish Direct 7.7958909
## 111 Female 5 - 9 Fish Direct 17.5698850
## 112 Male 5 - 9 Fish Direct 23.7710209
## 113 Female 10 - 14 Fish Direct 17.6141458
## 114 Male 10 - 14 Fish Direct 23.8309032
## 115 Female 15 - 19 Fish Direct 17.6141458
## 116 Male 15 - 19 Fish Direct 23.8309032
## 117 Female 20 - 24 Fish Direct 27.6701889
## 118 Male 20 - 24 Fish Direct 37.4361379
## 119 Female 25 - 29 Fish Direct 27.6701889
## 120 Male 25 - 29 Fish Direct 37.4361379
## 121 Female 30 - 34 Fish Direct 27.6701889
## 122 Male 30 - 34 Fish Direct 37.4361379
## 123 Female 35 - 39 Fish Direct 27.6701889
## 124 Male 35 - 39 Fish Direct 37.4361379
## 125 Female 40 - 44 Fish Direct 27.6701889
## 126 Male 40 - 44 Fish Direct 37.4361379
## 127 Female 45 - 49 Fish Direct 27.6701889
## 128 Male 45 - 49 Fish Direct 37.4361379
## 129 Female 50 - 54 Fish Direct 27.6701889
## 130 Male 50 - 54 Fish Direct 37.4361379
## 131 Female 55 - 59 Fish Direct 27.6701889
## 132 Male 55 - 59 Fish Direct 37.4361379
## 133 Female 60 - 64 Fish Direct 27.6701889
## 134 Male 60 - 64 Fish Direct 37.4361379
## 135 Female 65 - 69 Fish Direct 35.7717063
## 136 Male 65 - 69 Fish Direct 48.3970145
## 137 Female 70 - 74 Fish Direct 35.7717063
## 138 Male 70 - 74 Fish Direct 48.3970145
## 139 Female 75 - 79 Fish Direct 35.7717063
## 140 Male 75 - 79 Fish Direct 48.3970145
## 141 Female 80 - 84 Fish Direct 35.7717063
## 142 Male 80 - 84 Fish Direct 48.3970145
## 143 Female 85+ Fish Direct 35.7717063
## 144 Male 85+ Fish Direct 48.3970145
## 145 Female 0 - 4 MeHg Direct 0.5971765
## 146 Male 0 - 4 MeHg Direct 0.8079447
## 147 Female 5 - 9 MeHg Direct 1.3270854
## 148 Male 5 - 9 MeHg Direct 1.7954684
## 149 Female 10 - 14 MeHg Direct 1.6315120
## 150 Male 10 - 14 MeHg Direct 2.2073398
## 151 Female 15 - 19 MeHg Direct 1.6315120
## 152 Male 15 - 19 MeHg Direct 2.2073398
## 153 Female 20 - 24 MeHg Direct 2.8284141
## 154 Male 20 - 24 MeHg Direct 3.8266780
## 155 Female 25 - 29 MeHg Direct 2.8284141
## 156 Male 25 - 29 MeHg Direct 3.8266780
## 157 Female 30 - 34 MeHg Direct 2.8284141
## 158 Male 30 - 34 MeHg Direct 3.8266780
## 159 Female 35 - 39 MeHg Direct 2.8284141
## 160 Male 35 - 39 MeHg Direct 3.8266780
## 161 Female 40 - 44 MeHg Direct 2.8284141
## 162 Male 40 - 44 MeHg Direct 3.8266780
## 163 Female 45 - 49 MeHg Direct 2.8284141
## 164 Male 45 - 49 MeHg Direct 3.8266780
## 165 Female 50 - 54 MeHg Direct 2.8284141
## 166 Male 50 - 54 MeHg Direct 3.8266780
## 167 Female 55 - 59 MeHg Direct 2.8284141
## 168 Male 55 - 59 MeHg Direct 3.8266780
## 169 Female 60 - 64 MeHg Direct 2.8284141
## 170 Male 60 - 64 MeHg Direct 3.8266780
## 171 Female 65 - 69 MeHg Direct 3.7425454
## 172 Male 65 - 69 MeHg Direct 5.0634437
## 173 Female 70 - 74 MeHg Direct 3.7425454
## 174 Male 70 - 74 MeHg Direct 5.0634437
## 175 Female 75 - 79 MeHg Direct 3.7425454
## 176 Male 75 - 79 MeHg Direct 5.0634437
## 177 Female 80 - 84 MeHg Direct 3.7425454
## 178 Male 80 - 84 MeHg Direct 5.0634437
## 179 Female 85+ MeHg Direct 3.7425454
## 180 Male 85+ MeHg Direct 5.0634437
## 181 Female 0 - 4 Omega3 Direct 141.4674764
## 182 Male 0 - 4 Omega3 Direct 192.7261932
## 183 Female 5 - 9 Omega3 Direct 248.8196536
## 184 Male 5 - 9 Omega3 Direct 337.9673743
## 185 Female 10 - 14 Omega3 Direct 295.6121154
## 186 Male 10 - 14 Omega3 Direct 401.2748226
## 187 Female 15 - 19 Omega3 Direct 295.6121154
## 188 Male 15 - 19 Omega3 Direct 401.2748226
## 189 Female 20 - 24 Omega3 Direct 443.9103092
## 190 Male 20 - 24 Omega3 Direct 601.9135554
## 191 Female 25 - 29 Omega3 Direct 443.9103092
## 192 Male 25 - 29 Omega3 Direct 601.9135554
## 193 Female 30 - 34 Omega3 Direct 443.9103092
## 194 Male 30 - 34 Omega3 Direct 601.9135554
## 195 Female 35 - 39 Omega3 Direct 443.9103092
## 196 Male 35 - 39 Omega3 Direct 601.9135554
## 197 Female 40 - 44 Omega3 Direct 443.9103092
## 198 Male 40 - 44 Omega3 Direct 601.9135554
## 199 Female 45 - 49 Omega3 Direct 443.9103092
## 200 Male 45 - 49 Omega3 Direct 601.9135554
## 201 Female 50 - 54 Omega3 Direct 443.9103092
## 202 Male 50 - 54 Omega3 Direct 601.9135554
## 203 Female 55 - 59 Omega3 Direct 443.9103092
## 204 Male 55 - 59 Omega3 Direct 601.9135554
## 205 Female 60 - 64 Omega3 Direct 443.9103092
## 206 Male 60 - 64 Omega3 Direct 601.9135554
## 207 Female 65 - 69 Omega3 Direct 599.1340842
## 208 Male 65 - 69 Omega3 Direct 811.9221921
## 209 Female 70 - 74 Omega3 Direct 599.1340842
## 210 Male 70 - 74 Omega3 Direct 811.9221921
## 211 Female 75 - 79 Omega3 Direct 599.1340842
## 212 Male 75 - 79 Omega3 Direct 811.9221921
## 213 Female 80 - 84 Omega3 Direct 599.1340842
## 214 Male 80 - 84 Omega3 Direct 811.9221921
## 215 Female 85+ Omega3 Direct 599.1340842
## 216 Male 85+ Omega3 Direct 811.9221921
## 217 Female 0 - 4 PFAS Direct 47.2495764
## 218 Male 0 - 4 PFAS Direct 63.9258974
## 219 Female 5 - 9 PFAS Direct 149.4611117
## 220 Male 5 - 9 PFAS Direct 202.2120924
## 221 Female 10 - 14 PFAS Direct 151.7132151
## 222 Male 10 - 14 PFAS Direct 205.2590557
## 223 Female 15 - 19 PFAS Direct 151.7132151
## 224 Male 15 - 19 PFAS Direct 205.2590557
## 225 Female 20 - 24 PFAS Direct 230.7378180
## 226 Male 20 - 24 PFAS Direct 312.1746949
## 227 Female 25 - 29 PFAS Direct 230.7378180
## 228 Male 25 - 29 PFAS Direct 312.1746949
## 229 Female 30 - 34 PFAS Direct 230.7378180
## 230 Male 30 - 34 PFAS Direct 312.1746949
## 231 Female 35 - 39 PFAS Direct 230.7378180
## 232 Male 35 - 39 PFAS Direct 312.1746949
## 233 Female 40 - 44 PFAS Direct 230.7378180
## 234 Male 40 - 44 PFAS Direct 312.1746949
## 235 Female 45 - 49 PFAS Direct 230.7378180
## 236 Male 45 - 49 PFAS Direct 312.1746949
## 237 Female 50 - 54 PFAS Direct 230.7378180
## 238 Male 50 - 54 PFAS Direct 312.1746949
## 239 Female 55 - 59 PFAS Direct 230.7378180
## 240 Male 55 - 59 PFAS Direct 312.1746949
## 241 Female 60 - 64 PFAS Direct 230.7378180
## 242 Male 60 - 64 PFAS Direct 312.1746949
## 243 Female 65 - 69 PFAS Direct 308.7619762
## 244 Male 65 - 69 PFAS Direct 417.7367914
## 245 Female 70 - 74 PFAS Direct 308.7619762
## 246 Male 70 - 74 PFAS Direct 417.7367914
## 247 Female 75 - 79 PFAS Direct 308.7619762
## 248 Male 75 - 79 PFAS Direct 417.7367914
## 249 Female 80 - 84 PFAS Direct 308.7619762
## 250 Male 80 - 84 PFAS Direct 417.7367914
## 251 Female 85+ PFAS Direct 308.7619762
## 252 Male 85+ PFAS Direct 417.7367914
## 253 Female 0 - 4 TEQ Direct 54.2533243
## 254 Male 0 - 4 TEQ Direct 73.4015564
## 255 Female 5 - 9 TEQ Direct 97.8208278
## 256 Male 5 - 9 TEQ Direct 132.3458259
## 257 Female 10 - 14 TEQ Direct 160.1890499
## 258 Male 10 - 14 TEQ Direct 216.7263616
## 259 Female 15 - 19 TEQ Direct 160.1890499
## 260 Male 15 - 19 TEQ Direct 216.7263616
## 261 Female 20 - 24 TEQ Direct 301.8922163
## 262 Male 20 - 24 TEQ Direct 408.4424103
## 263 Female 25 - 29 TEQ Direct 301.8922163
## 264 Male 25 - 29 TEQ Direct 408.4424103
## 265 Female 30 - 34 TEQ Direct 301.8922163
## 266 Male 30 - 34 TEQ Direct 408.4424103
## 267 Female 35 - 39 TEQ Direct 301.8922163
## 268 Male 35 - 39 TEQ Direct 408.4424103
## 269 Female 40 - 44 TEQ Direct 301.8922163
## 270 Male 40 - 44 TEQ Direct 408.4424103
## 271 Female 45 - 49 TEQ Direct 301.8922163
## 272 Male 45 - 49 TEQ Direct 408.4424103
## 273 Female 50 - 54 TEQ Direct 301.8922163
## 274 Male 50 - 54 TEQ Direct 408.4424103
## 275 Female 55 - 59 TEQ Direct 301.8922163
## 276 Male 55 - 59 TEQ Direct 408.4424103
## 277 Female 60 - 64 TEQ Direct 301.8922163
## 278 Male 60 - 64 TEQ Direct 408.4424103
## 279 Female 65 - 69 TEQ Direct 541.2734024
## 280 Male 65 - 69 TEQ Direct 732.3110739
## 281 Female 70 - 74 TEQ Direct 541.2734024
## 282 Male 70 - 74 TEQ Direct 732.3110739
## 283 Female 75 - 79 TEQ Direct 541.2734024
## 284 Male 75 - 79 TEQ Direct 732.3110739
## 285 Female 80 - 84 TEQ Direct 541.2734024
## 286 Male 80 - 84 TEQ Direct 732.3110739
## 287 Female 85+ TEQ Direct 541.2734024
## 288 Male 85+ TEQ Direct 732.3110739
## 289 Female 0 - 4 Vitamin D Direct 3.3655848
## 290 Male 0 - 4 Vitamin D Direct 5.1938819
## 291 Female 5 - 9 Vitamin D Direct 4.5671267
## 292 Male 5 - 9 Vitamin D Direct 6.8194974
## 293 Female 10 - 14 Vitamin D Direct 4.4677666
## 294 Male 10 - 14 Vitamin D Direct 6.6850691
## 295 Female 15 - 19 Vitamin D Direct 4.4677666
## 296 Male 15 - 19 Vitamin D Direct 6.6850691
## 297 Female 20 - 24 Vitamin D Direct 5.5261030
## 298 Male 20 - 24 Vitamin D Direct 8.1169360
## 299 Female 25 - 29 Vitamin D Direct 5.5261030
## 300 Male 25 - 29 Vitamin D Direct 8.1169360
## 301 Female 30 - 34 Vitamin D Direct 5.5261030
## 302 Male 30 - 34 Vitamin D Direct 8.1169360
## 303 Female 35 - 39 Vitamin D Direct 5.5261030
## 304 Male 35 - 39 Vitamin D Direct 8.1169360
## 305 Female 40 - 44 Vitamin D Direct 5.5261030
## 306 Male 40 - 44 Vitamin D Direct 8.1169360
## 307 Female 45 - 49 Vitamin D Direct 5.5261030
## 308 Male 45 - 49 Vitamin D Direct 8.1169360
## 309 Female 50 - 54 Vitamin D Direct 5.5261030
## 310 Male 50 - 54 Vitamin D Direct 8.1169360
## 311 Female 55 - 59 Vitamin D Direct 5.5261030
## 312 Male 55 - 59 Vitamin D Direct 8.1169360
## 313 Female 60 - 64 Vitamin D Direct 5.5261030
## 314 Male 60 - 64 Vitamin D Direct 8.1169360
## 315 Female 65 - 69 Vitamin D Direct 6.2731073
## 316 Male 65 - 69 Vitamin D Direct 9.1275888
## 317 Female 70 - 74 Vitamin D Direct 6.2731073
## 318 Male 70 - 74 Vitamin D Direct 9.1275888
## 319 Female 75 - 79 Vitamin D Direct 6.2731073
## 320 Male 75 - 79 Vitamin D Direct 9.1275888
## 321 Female 80 - 84 Vitamin D Direct 6.2731073
## 322 Male 80 - 84 Vitamin D Direct 9.1275888
## 323 Female 85+ Vitamin D Direct 6.2731073
## 324 Male 85+ Vitamin D Direct 9.1275888
## 325 Female 0 - 4 PFAS To child 13.4613861
## 326 Male 0 - 4 PFAS To child 13.4613861
## 327 Female 0 - 4 TEQ To child 40.3959687
## 328 Male 0 - 4 TEQ To child 40.3959687#oprint(summary(fish_proportion,"mean"))
oprint(summary(incidence,"mean"))## Response Age Adjust mean
## 1 Immunosuppression 0 - 4 BAU 4.810
## 2 Loss in child's IQ points 0 - 4 BAU 5.960
## 3 Sperm concentration 0 - 4 BAU 0.070
## 4 Yes or no dental defect 0 - 4 BAU 0.224
## 5 Immunosuppression 5 - 9 BAU 3.950oprint(summary(PAF,"mean"))## Exposure_agent Response Gender
## 1 DHA Loss in child's IQ points Female
## 2 MeHg Loss in child's IQ points Female
## 3 TEQ Cancer morbidity yearly Female
## 4 TEQ Sperm concentration Female
## 5 TEQ Yes or no dental defect Female
## 6 PFAS Immunosuppression Female
## 7 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 8 Vitamin D Vitamin D recommendation Female
## 9 PFAS PFAS TWI Female
## 10 Fish All-cause mortality Female
## 11 Omega3 Breast cancer Female
## 12 Fish Depression Female
## 13 Omega3 CHD2 mortality Female
## 14 DHA Loss in child's IQ points Male
## 15 MeHg Loss in child's IQ points Male
## 16 TEQ Cancer morbidity yearly Male
## 17 TEQ Sperm concentration Male
## 18 TEQ Yes or no dental defect Male
## 19 PFAS Immunosuppression Male
## 20 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 21 Vitamin D Vitamin D recommendation Male
## 22 PFAS PFAS TWI Male
## 23 Fish All-cause mortality Male
## 24 Omega3 Breast cancer Male
## 25 Fish Depression Male
## 26 Omega3 CHD2 mortality Male
## 27 TEQ Cancer morbidity yearly Female
## 28 PFAS Immunosuppression Female
## 29 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 30 Vitamin D Vitamin D recommendation Female
## 31 PFAS PFAS TWI Female
## 32 Fish All-cause mortality Female
## 33 Omega3 Breast cancer Female
## 34 Fish Depression Female
## 35 Omega3 CHD2 mortality Female
## 36 TEQ Cancer morbidity yearly Male
## 37 PFAS Immunosuppression Male
## 38 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 39 Vitamin D Vitamin D recommendation Male
## 40 PFAS PFAS TWI Male
## 41 Fish All-cause mortality Male
## 42 Omega3 Breast cancer Male
## 43 Fish Depression Male
## 44 Omega3 CHD2 mortality Male
## 45 TEQ Cancer morbidity yearly Female
## 46 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 47 Vitamin D Vitamin D recommendation Female
## 48 PFAS PFAS TWI Female
## 49 Fish All-cause mortality Female
## 50 Omega3 Breast cancer Female
## 51 Fish Depression Female
## 52 Omega3 CHD2 mortality Female
## 53 TEQ Cancer morbidity yearly Male
## 54 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 55 Vitamin D Vitamin D recommendation Male
## 56 PFAS PFAS TWI Male
## 57 Fish All-cause mortality Male
## 58 Omega3 Breast cancer Male
## 59 Fish Depression Male
## 60 Omega3 CHD2 mortality Male
## 61 TEQ Cancer morbidity yearly Female
## 62 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 63 Vitamin D Vitamin D recommendation Female
## 64 PFAS PFAS TWI Female
## 65 Fish All-cause mortality Female
## 66 Omega3 Breast cancer Female
## 67 Fish Depression Female
## 68 Omega3 CHD2 mortality Female
## 69 TEQ Cancer morbidity yearly Male
## 70 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 71 Vitamin D Vitamin D recommendation Male
## 72 PFAS PFAS TWI Male
## 73 Fish All-cause mortality Male
## 74 Omega3 Breast cancer Male
## 75 Fish Depression Male
## 76 Omega3 CHD2 mortality Male
## 77 TEQ Cancer morbidity yearly Female
## 78 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 79 Vitamin D Vitamin D recommendation Female
## 80 PFAS PFAS TWI Female
## 81 Fish All-cause mortality Female
## 82 Omega3 Breast cancer Female
## 83 Fish Depression Female
## 84 Omega3 CHD2 mortality Female
## 85 TEQ Cancer morbidity yearly Male
## 86 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 87 Vitamin D Vitamin D recommendation Male
## 88 PFAS PFAS TWI Male
## 89 Fish All-cause mortality Male
## 90 Omega3 Breast cancer Male
## 91 Fish Depression Male
## 92 Omega3 CHD2 mortality Male
## 93 TEQ Cancer morbidity yearly Female
## 94 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 95 Vitamin D Vitamin D recommendation Female
## 96 PFAS PFAS TWI Female
## 97 Fish All-cause mortality Female
## 98 Omega3 Breast cancer Female
## 99 Fish Depression Female
## 100 Omega3 CHD2 mortality Female
## 101 TEQ Cancer morbidity yearly Male
## 102 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 103 Vitamin D Vitamin D recommendation Male
## 104 PFAS PFAS TWI Male
## 105 Fish All-cause mortality Male
## 106 Omega3 Breast cancer Male
## 107 Fish Depression Male
## 108 Omega3 CHD2 mortality Male
## 109 TEQ Cancer morbidity yearly Female
## 110 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 111 Vitamin D Vitamin D recommendation Female
## 112 PFAS PFAS TWI Female
## 113 Fish All-cause mortality Female
## 114 Omega3 Breast cancer Female
## 115 Fish Depression Female
## 116 Omega3 CHD2 mortality Female
## 117 TEQ Cancer morbidity yearly Male
## 118 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 119 Vitamin D Vitamin D recommendation Male
## 120 PFAS PFAS TWI Male
## 121 Fish All-cause mortality Male
## 122 Omega3 Breast cancer Male
## 123 Fish Depression Male
## 124 Omega3 CHD2 mortality Male
## 125 TEQ Cancer morbidity yearly Female
## 126 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 127 Vitamin D Vitamin D recommendation Female
## 128 PFAS PFAS TWI Female
## 129 Fish All-cause mortality Female
## 130 Omega3 Breast cancer Female
## 131 Fish Depression Female
## 132 Omega3 CHD2 mortality Female
## 133 TEQ Cancer morbidity yearly Male
## 134 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 135 Vitamin D Vitamin D recommendation Male
## 136 PFAS PFAS TWI Male
## 137 Fish All-cause mortality Male
## 138 Omega3 Breast cancer Male
## 139 Fish Depression Male
## 140 Omega3 CHD2 mortality Male
## 141 TEQ Cancer morbidity yearly Female
## 142 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 143 Vitamin D Vitamin D recommendation Female
## 144 PFAS PFAS TWI Female
## 145 Fish All-cause mortality Female
## 146 Omega3 Breast cancer Female
## 147 Fish Depression Female
## 148 Omega3 CHD2 mortality Female
## 149 TEQ Cancer morbidity yearly Male
## 150 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 151 Vitamin D Vitamin D recommendation Male
## 152 PFAS PFAS TWI Male
## 153 Fish All-cause mortality Male
## 154 Omega3 Breast cancer Male
## 155 Fish Depression Male
## 156 Omega3 CHD2 mortality Male
## 157 TEQ Cancer morbidity yearly Female
## 158 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 159 Vitamin D Vitamin D recommendation Female
## 160 PFAS PFAS TWI Female
## 161 Fish All-cause mortality Female
## 162 Omega3 Breast cancer Female
## 163 Fish Depression Female
## 164 Omega3 CHD2 mortality Female
## 165 TEQ Cancer morbidity yearly Male
## 166 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 167 Vitamin D Vitamin D recommendation Male
## 168 PFAS PFAS TWI Male
## 169 Fish All-cause mortality Male
## 170 Omega3 Breast cancer Male
## 171 Fish Depression Male
## 172 Omega3 CHD2 mortality Male
## 173 TEQ Cancer morbidity yearly Female
## 174 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 175 Vitamin D Vitamin D recommendation Female
## 176 PFAS PFAS TWI Female
## 177 Fish All-cause mortality Female
## 178 Omega3 Breast cancer Female
## 179 Fish Depression Female
## 180 Omega3 CHD2 mortality Female
## 181 TEQ Cancer morbidity yearly Male
## 182 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 183 Vitamin D Vitamin D recommendation Male
## 184 PFAS PFAS TWI Male
## 185 Fish All-cause mortality Male
## 186 Omega3 Breast cancer Male
## 187 Fish Depression Male
## 188 Omega3 CHD2 mortality Male
## 189 TEQ Cancer morbidity yearly Female
## 190 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 191 Vitamin D Vitamin D recommendation Female
## 192 PFAS PFAS TWI Female
## 193 Fish All-cause mortality Female
## 194 Omega3 Breast cancer Female
## 195 Fish Depression Female
## 196 Omega3 CHD2 mortality Female
## 197 TEQ Cancer morbidity yearly Male
## 198 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 199 Vitamin D Vitamin D recommendation Male
## 200 PFAS PFAS TWI Male
## 201 Fish All-cause mortality Male
## 202 Omega3 Breast cancer Male
## 203 Fish Depression Male
## 204 Omega3 CHD2 mortality Male
## 205 TEQ Cancer morbidity yearly Female
## 206 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 207 Vitamin D Vitamin D recommendation Female
## 208 PFAS PFAS TWI Female
## 209 Fish All-cause mortality Female
## 210 Omega3 Breast cancer Female
## 211 Fish Depression Female
## 212 Omega3 CHD2 mortality Female
## 213 TEQ Cancer morbidity yearly Male
## 214 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 215 Vitamin D Vitamin D recommendation Male
## 216 PFAS PFAS TWI Male
## 217 Fish All-cause mortality Male
## 218 Omega3 Breast cancer Male
## 219 Fish Depression Male
## 220 Omega3 CHD2 mortality Male
## 221 TEQ Cancer morbidity yearly Female
## 222 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 223 Vitamin D Vitamin D recommendation Female
## 224 PFAS PFAS TWI Female
## 225 Fish All-cause mortality Female
## 226 Omega3 Breast cancer Female
## 227 Fish Depression Female
## 228 Omega3 CHD2 mortality Female
## 229 TEQ Cancer morbidity yearly Male
## 230 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 231 Vitamin D Vitamin D recommendation Male
## 232 PFAS PFAS TWI Male
## 233 Fish All-cause mortality Male
## 234 Omega3 Breast cancer Male
## 235 Fish Depression Male
## 236 Omega3 CHD2 mortality Male
## 237 TEQ Cancer morbidity yearly Female
## 238 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 239 Vitamin D Vitamin D recommendation Female
## 240 PFAS PFAS TWI Female
## 241 Fish All-cause mortality Female
## 242 Omega3 Breast cancer Female
## 243 Fish Depression Female
## 244 Omega3 CHD2 mortality Female
## 245 TEQ Cancer morbidity yearly Male
## 246 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 247 Vitamin D Vitamin D recommendation Male
## 248 PFAS PFAS TWI Male
## 249 Fish All-cause mortality Male
## 250 Omega3 Breast cancer Male
## 251 Fish Depression Male
## 252 Omega3 CHD2 mortality Male
## 253 TEQ Cancer morbidity yearly Female
## 254 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 255 Vitamin D Vitamin D recommendation Female
## 256 PFAS PFAS TWI Female
## 257 Fish All-cause mortality Female
## 258 Omega3 Breast cancer Female
## 259 Fish Depression Female
## 260 Omega3 CHD2 mortality Female
## 261 TEQ Cancer morbidity yearly Male
## 262 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 263 Vitamin D Vitamin D recommendation Male
## 264 PFAS PFAS TWI Male
## 265 Fish All-cause mortality Male
## 266 Omega3 Breast cancer Male
## 267 Fish Depression Male
## 268 Omega3 CHD2 mortality Male
## 269 TEQ Cancer morbidity yearly Female
## 270 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 271 Vitamin D Vitamin D recommendation Female
## 272 PFAS PFAS TWI Female
## 273 Fish All-cause mortality Female
## 274 Omega3 Breast cancer Female
## 275 Fish Depression Female
## 276 Omega3 CHD2 mortality Female
## 277 TEQ Cancer morbidity yearly Male
## 278 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 279 Vitamin D Vitamin D recommendation Male
## 280 PFAS PFAS TWI Male
## 281 Fish All-cause mortality Male
## 282 Omega3 Breast cancer Male
## 283 Fish Depression Male
## 284 Omega3 CHD2 mortality Male
## 285 TEQ Cancer morbidity yearly Female
## 286 TEQ Dioxin recommendation tolerable daily intake 2018 Female
## 287 Vitamin D Vitamin D recommendation Female
## 288 PFAS PFAS TWI Female
## 289 Fish All-cause mortality Female
## 290 Omega3 Breast cancer Female
## 291 Fish Depression Female
## 292 Omega3 CHD2 mortality Female
## 293 TEQ Cancer morbidity yearly Male
## 294 TEQ Dioxin recommendation tolerable daily intake 2018 Male
## 295 Vitamin D Vitamin D recommendation Male
## 296 PFAS PFAS TWI Male
## 297 Fish All-cause mortality Male
## 298 Omega3 Breast cancer Male
## 299 Fish Depression Male
## 300 Omega3 CHD2 mortality Male
## Age Adjust mean
## 1 0 - 4 BAU -0.012266039
## 2 0 - 4 BAU 0.013555654
## 3 0 - 4 BAU 0.002022785
## 4 0 - 4 BAU 0.080238634
## 5 0 - 4 BAU 0.599425454
## 6 0 - 4 BAU 0.004093076
## 7 0 - 4 BAU 1.478125000
## 8 0 - 4 BAU 4.536363636
## 9 0 - 4 BAU 0.023000000
## 10 0 - 4 BAU -0.012037344
## 11 0 - 4 BAU -0.067563144
## 12 0 - 4 BAU -0.029025880
## 13 0 - 4 BAU -0.108185673
## 14 0 - 4 BAU -0.016953394
## 15 0 - 4 BAU 0.018340003
## 16 0 - 4 BAU 0.002415030
## 17 0 - 4 BAU 0.095548935
## 18 0 - 4 BAU 0.720707302
## 19 0 - 4 BAU 0.005217378
## 20 0 - 4 BAU 1.478125000
## 21 0 - 4 BAU 4.386363636
## 22 0 - 4 BAU 0.041000000
## 23 0 - 4 BAU -0.016153270
## 24 0 - 4 BAU -0.089580840
## 25 0 - 4 BAU -0.038463280
## 26 0 - 4 BAU -0.117243257
## 27 5 - 9 BAU 0.002006699
## 28 5 - 9 BAU 0.012270406
## 29 5 - 9 BAU 0.731250000
## 30 5 - 9 BAU 4.259090909
## 31 5 - 9 BAU 0.153000000
## 32 5 - 9 BAU -0.035385812
## 33 5 - 9 BAU -0.111739372
## 34 5 - 9 BAU -0.082525344
## 35 5 - 9 BAU -0.119095150
## 36 5 - 9 BAU 0.002714945
## 37 5 - 9 BAU 0.016601137
## 38 5 - 9 BAU 0.734375000
## 39 5 - 9 BAU 3.709090909
## 40 5 - 9 BAU 0.199000000
## 41 5 - 9 BAU -0.046910387
## 42 5 - 9 BAU -0.143846858
## 43 5 - 9 BAU -0.106356630
## 44 5 - 9 BAU -0.127066194
## 45 10 - 14 BAU 0.003539928
## 46 10 - 14 BAU 0.931250000
## 47 10 - 14 BAU 4.418181818
## 48 10 - 14 BAU 0.139000000
## 49 10 - 14 BAU -0.036171863
## 50 10 - 14 BAU -0.128667793
## 51 10 - 14 BAU -0.084317128
## 52 10 - 14 BAU -0.123494264
## 53 10 - 14 BAU 0.004789314
## 54 10 - 14 BAU 0.931250000
## 55 10 - 14 BAU 3.777272727
## 56 10 - 14 BAU 0.215000000
## 57 10 - 14 BAU -0.048131254
## 58 10 - 14 BAU -0.163487103
## 59 10 - 14 BAU -0.109766315
## 60 10 - 14 BAU -0.130289980
## 61 15 - 19 BAU 0.003539928
## 62 15 - 19 BAU 0.931250000
## 63 15 - 19 BAU 4.418181818
## 64 15 - 19 BAU 0.139000000
## 65 15 - 19 BAU -0.036171863
## 66 15 - 19 BAU -0.128667793
## 67 15 - 19 BAU -0.084317128
## 68 15 - 19 BAU -0.123494264
## 69 15 - 19 BAU 0.004789314
## 70 15 - 19 BAU 0.931250000
## 71 15 - 19 BAU 3.777272727
## 72 15 - 19 BAU 0.215000000
## 73 15 - 19 BAU -0.048131254
## 74 15 - 19 BAU -0.163487103
## 75 15 - 19 BAU -0.109766315
## 76 15 - 19 BAU -0.130289980
## 77 20 - 24 BAU 0.006863037
## 78 20 - 24 BAU 0.737500000
## 79 20 - 24 BAU 3.881818182
## 80 20 - 24 BAU 0.230000000
## 81 20 - 24 BAU -0.053393022
## 82 20 - 24 BAU -0.156347282
## 83 20 - 24 BAU -0.114854981
## 84 20 - 24 BAU -0.116898061
## 85 20 - 24 BAU 0.009285286
## 86 20 - 24 BAU 0.737500000
## 87 20 - 24 BAU 3.363636364
## 88 20 - 24 BAU 0.261000000
## 89 20 - 24 BAU -0.069612671
## 90 20 - 24 BAU -0.192266258
## 91 20 - 24 BAU -0.143629678
## 92 20 - 24 BAU -0.124708188
## 93 25 - 29 BAU 0.006863037
## 94 25 - 29 BAU 0.737500000
## 95 25 - 29 BAU 3.881818182
## 96 25 - 29 BAU 0.230000000
## 97 25 - 29 BAU -0.053393022
## 98 25 - 29 BAU -0.156347282
## 99 25 - 29 BAU -0.114854981
## 100 25 - 29 BAU -0.116898061
## 101 25 - 29 BAU 0.009285286
## 102 25 - 29 BAU 0.737500000
## 103 25 - 29 BAU 3.363636364
## 104 25 - 29 BAU 0.261000000
## 105 25 - 29 BAU -0.069612671
## 106 25 - 29 BAU -0.192266258
## 107 25 - 29 BAU -0.143629678
## 108 25 - 29 BAU -0.124708188
## 109 30 - 34 BAU 0.006863037
## 110 30 - 34 BAU 0.737500000
## 111 30 - 34 BAU 3.881818182
## 112 30 - 34 BAU 0.230000000
## 113 30 - 34 BAU -0.053393022
## 114 30 - 34 BAU -0.156347282
## 115 30 - 34 BAU -0.114854981
## 116 30 - 34 BAU -0.116898061
## 117 30 - 34 BAU 0.009285286
## 118 30 - 34 BAU 0.737500000
## 119 30 - 34 BAU 3.363636364
## 120 30 - 34 BAU 0.261000000
## 121 30 - 34 BAU -0.069612671
## 122 30 - 34 BAU -0.192266258
## 123 30 - 34 BAU -0.143629678
## 124 30 - 34 BAU -0.124708188
## 125 35 - 39 BAU 0.006863037
## 126 35 - 39 BAU 0.737500000
## 127 35 - 39 BAU 3.881818182
## 128 35 - 39 BAU 0.230000000
## 129 35 - 39 BAU -0.053393022
## 130 35 - 39 BAU -0.156347282
## 131 35 - 39 BAU -0.114854981
## 132 35 - 39 BAU -0.116898061
## 133 35 - 39 BAU 0.009285286
## 134 35 - 39 BAU 0.737500000
## 135 35 - 39 BAU 3.363636364
## 136 35 - 39 BAU 0.261000000
## 137 35 - 39 BAU -0.069612671
## 138 35 - 39 BAU -0.192266258
## 139 35 - 39 BAU -0.143629678
## 140 35 - 39 BAU -0.124708188
## 141 40 - 44 BAU 0.006863037
## 142 40 - 44 BAU 0.737500000
## 143 40 - 44 BAU 3.881818182
## 144 40 - 44 BAU 0.230000000
## 145 40 - 44 BAU -0.053393022
## 146 40 - 44 BAU -0.156347282
## 147 40 - 44 BAU -0.114854981
## 148 40 - 44 BAU -0.116898061
## 149 40 - 44 BAU 0.009285286
## 150 40 - 44 BAU 0.737500000
## 151 40 - 44 BAU 3.363636364
## 152 40 - 44 BAU 0.261000000
## 153 40 - 44 BAU -0.069612671
## 154 40 - 44 BAU -0.192266258
## 155 40 - 44 BAU -0.143629678
## 156 40 - 44 BAU -0.124708188
## 157 45 - 49 BAU 0.006863037
## 158 45 - 49 BAU 0.737500000
## 159 45 - 49 BAU 3.881818182
## 160 45 - 49 BAU 0.230000000
## 161 45 - 49 BAU -0.053393022
## 162 45 - 49 BAU -0.156347282
## 163 45 - 49 BAU -0.114854981
## 164 45 - 49 BAU -0.116898061
## 165 45 - 49 BAU 0.009285286
## 166 45 - 49 BAU 0.737500000
## 167 45 - 49 BAU 3.363636364
## 168 45 - 49 BAU 0.261000000
## 169 45 - 49 BAU -0.069612671
## 170 45 - 49 BAU -0.192266258
## 171 45 - 49 BAU -0.143629678
## 172 45 - 49 BAU -0.124708188
## 173 50 - 54 BAU 0.006863037
## 174 50 - 54 BAU 0.737500000
## 175 50 - 54 BAU 3.881818182
## 176 50 - 54 BAU 0.230000000
## 177 50 - 54 BAU -0.053393022
## 178 50 - 54 BAU -0.156347282
## 179 50 - 54 BAU -0.114854981
## 180 50 - 54 BAU -0.116898061
## 181 50 - 54 BAU 0.009285286
## 182 50 - 54 BAU 0.737500000
## 183 50 - 54 BAU 3.363636364
## 184 50 - 54 BAU 0.261000000
## 185 50 - 54 BAU -0.069612671
## 186 50 - 54 BAU -0.192266258
## 187 50 - 54 BAU -0.143629678
## 188 50 - 54 BAU -0.124708188
## 189 55 - 59 BAU 0.006863037
## 190 55 - 59 BAU 0.737500000
## 191 55 - 59 BAU 3.881818182
## 192 55 - 59 BAU 0.230000000
## 193 55 - 59 BAU -0.053393022
## 194 55 - 59 BAU -0.156347282
## 195 55 - 59 BAU -0.114854981
## 196 55 - 59 BAU -0.116898061
## 197 55 - 59 BAU 0.009285286
## 198 55 - 59 BAU 0.737500000
## 199 55 - 59 BAU 3.363636364
## 200 55 - 59 BAU 0.261000000
## 201 55 - 59 BAU -0.069612671
## 202 55 - 59 BAU -0.192266258
## 203 55 - 59 BAU -0.143629678
## 204 55 - 59 BAU -0.124708188
## 205 60 - 64 BAU 0.006863037
## 206 60 - 64 BAU 0.737500000
## 207 60 - 64 BAU 3.881818182
## 208 60 - 64 BAU 0.230000000
## 209 60 - 64 BAU -0.053393022
## 210 60 - 64 BAU -0.156347282
## 211 60 - 64 BAU -0.114854981
## 212 60 - 64 BAU -0.116898061
## 213 60 - 64 BAU 0.009285286
## 214 60 - 64 BAU 0.737500000
## 215 60 - 64 BAU 3.363636364
## 216 60 - 64 BAU 0.261000000
## 217 60 - 64 BAU -0.069612671
## 218 60 - 64 BAU -0.192266258
## 219 60 - 64 BAU -0.143629678
## 220 60 - 64 BAU -0.124708188
## 221 65 - 69 BAU 0.012182501
## 222 65 - 69 BAU 0.978125000
## 223 65 - 69 BAU 3.718181818
## 224 65 - 69 BAU 0.257000000
## 225 65 - 69 BAU -0.066671202
## 226 65 - 69 BAU -0.192635847
## 227 65 - 69 BAU -0.142398049
## 228 65 - 69 BAU -0.120106805
## 229 65 - 69 BAU 0.016482207
## 230 65 - 69 BAU 0.978125000
## 231 65 - 69 BAU 3.259090909
## 232 65 - 69 BAU 0.298000000
## 233 65 - 69 BAU -0.086254649
## 234 65 - 69 BAU -0.232492989
## 235 65 - 69 BAU -0.174942328
## 236 65 - 69 BAU -0.126324226
## 237 70 - 74 BAU 0.012182501
## 238 70 - 74 BAU 0.978125000
## 239 70 - 74 BAU 3.718181818
## 240 70 - 74 BAU 0.257000000
## 241 70 - 74 BAU -0.066671202
## 242 70 - 74 BAU -0.192635847
## 243 70 - 74 BAU -0.142398049
## 244 70 - 74 BAU -0.120106805
## 245 70 - 74 BAU 0.016482207
## 246 70 - 74 BAU 0.978125000
## 247 70 - 74 BAU 3.259090909
## 248 70 - 74 BAU 0.298000000
## 249 70 - 74 BAU -0.086254649
## 250 70 - 74 BAU -0.232492989
## 251 70 - 74 BAU -0.174942328
## 252 70 - 74 BAU -0.126324226
## 253 75 - 79 BAU 0.012182501
## 254 75 - 79 BAU 0.978125000
## 255 75 - 79 BAU 3.718181818
## 256 75 - 79 BAU 0.257000000
## 257 75 - 79 BAU -0.066671202
## 258 75 - 79 BAU -0.192635847
## 259 75 - 79 BAU -0.142398049
## 260 75 - 79 BAU -0.120106805
## 261 75 - 79 BAU 0.016482207
## 262 75 - 79 BAU 0.978125000
## 263 75 - 79 BAU 3.259090909
## 264 75 - 79 BAU 0.298000000
## 265 75 - 79 BAU -0.086254649
## 266 75 - 79 BAU -0.232492989
## 267 75 - 79 BAU -0.174942328
## 268 75 - 79 BAU -0.126324226
## 269 80 - 84 BAU 0.012182501
## 270 80 - 84 BAU 0.978125000
## 271 80 - 84 BAU 3.718181818
## 272 80 - 84 BAU 0.257000000
## 273 80 - 84 BAU -0.066671202
## 274 80 - 84 BAU -0.192635847
## 275 80 - 84 BAU -0.142398049
## 276 80 - 84 BAU -0.120106805
## 277 80 - 84 BAU 0.016482207
## 278 80 - 84 BAU 0.978125000
## 279 80 - 84 BAU 3.259090909
## 280 80 - 84 BAU 0.298000000
## 281 80 - 84 BAU -0.086254649
## 282 80 - 84 BAU -0.232492989
## 283 80 - 84 BAU -0.174942328
## 284 80 - 84 BAU -0.126324226
## 285 85+ BAU 0.012182501
## 286 85+ BAU 0.978125000
## 287 85+ BAU 3.718181818
## 288 85+ BAU 0.257000000
## 289 85+ BAU -0.066671202
## 290 85+ BAU -0.192635847
## 291 85+ BAU -0.142398049
## 292 85+ BAU -0.120106805
## 293 85+ BAU 0.016482207
## 294 85+ BAU 0.978125000
## 295 85+ BAU 3.259090909
## 296 85+ BAU 0.298000000
## 297 85+ BAU -0.086254649
## 298 85+ BAU -0.232492989
## 299 85+ BAU -0.174942328
## 300 85+ BAU -0.126324226oprint(summary(population,"mean"))## Gender Age mean
## 1 Female 0 - 4 125040
## 2 Male 0 - 4 130884
## 3 Female 5 - 9 149633
## 4 Male 5 - 9 156654
## 5 Female 10 - 14 151113
## 6 Male 10 - 14 157712
## 7 Female 15 - 19 144441
## 8 Male 15 - 19 152230
## 9 Female 20 - 24 152265
## 10 Male 20 - 24 161679
## 11 Female 25 - 29 172593
## 12 Male 25 - 29 183092
## 13 Female 30 - 34 169653
## 14 Male 30 - 34 181115
## 15 Female 35 - 39 174660
## 16 Male 35 - 39 186122
## 17 Female 40 - 44 168547
## 18 Male 40 - 44 177928
## 19 Female 45 - 49 154391
## 20 Male 45 - 49 159982
## 21 Female 50 - 54 176612
## 22 Male 50 - 54 179182
## 23 Female 55 - 59 185152
## 24 Male 55 - 59 183719
## 25 Female 60 - 64 183336
## 26 Male 60 - 64 176283
## 27 Female 65 - 69 185685
## 28 Male 65 - 69 171275
## 29 Female 70 - 74 186034
## 30 Male 70 - 74 163697
## 31 Female 75 - 79 118190
## 32 Male 75 - 79 93987
## 33 Female 80 - 84 96256
## 34 Male 80 - 84 65140
## 35 Female 85+ 103429
## 36 Male 85+ 47581
## 37 Female Undefined 2797030
## 38 Male Undefined 2728262oprint(summary(RR,"mean"))## Exposure_agent Response ER_function Scaling Gender Age
## 1 Fish All-cause mortality RR None Female 0 - 4
## 2 Omega3 Breast cancer RR None Female 0 - 4
## 3 Fish Depression RR None Female 0 - 4
## 4 Omega3 CHD2 mortality Relative Hill None Female 0 - 4
## 5 Fish All-cause mortality RR None Male 0 - 4
## 6 Omega3 Breast cancer RR None Male 0 - 4
## 7 Fish Depression RR None Male 0 - 4
## 8 Omega3 CHD2 mortality Relative Hill None Male 0 - 4
## 9 Fish All-cause mortality RR None Female 5 - 9
## 10 Omega3 Breast cancer RR None Female 5 - 9
## 11 Fish Depression RR None Female 5 - 9
## 12 Omega3 CHD2 mortality Relative Hill None Female 5 - 9
## 13 Fish All-cause mortality RR None Male 5 - 9
## 14 Omega3 Breast cancer RR None Male 5 - 9
## 15 Fish Depression RR None Male 5 - 9
## 16 Omega3 CHD2 mortality Relative Hill None Male 5 - 9
## 17 Fish All-cause mortality RR None Female 10 - 14
## 18 Omega3 Breast cancer RR None Female 10 - 14
## 19 Fish Depression RR None Female 10 - 14
## 20 Omega3 CHD2 mortality Relative Hill None Female 10 - 14
## 21 Fish All-cause mortality RR None Male 10 - 14
## 22 Omega3 Breast cancer RR None Male 10 - 14
## 23 Fish Depression RR None Male 10 - 14
## 24 Omega3 CHD2 mortality Relative Hill None Male 10 - 14
## 25 Fish All-cause mortality RR None Female 15 - 19
## 26 Omega3 Breast cancer RR None Female 15 - 19
## 27 Fish Depression RR None Female 15 - 19
## 28 Omega3 CHD2 mortality Relative Hill None Female 15 - 19
## 29 Fish All-cause mortality RR None Male 15 - 19
## 30 Omega3 Breast cancer RR None Male 15 - 19
## 31 Fish Depression RR None Male 15 - 19
## 32 Omega3 CHD2 mortality Relative Hill None Male 15 - 19
## 33 Fish All-cause mortality RR None Female 20 - 24
## 34 Omega3 Breast cancer RR None Female 20 - 24
## 35 Fish Depression RR None Female 20 - 24
## 36 Omega3 CHD2 mortality Relative Hill None Female 20 - 24
## 37 Fish All-cause mortality RR None Male 20 - 24
## 38 Omega3 Breast cancer RR None Male 20 - 24
## 39 Fish Depression RR None Male 20 - 24
## 40 Omega3 CHD2 mortality Relative Hill None Male 20 - 24
## 41 Fish All-cause mortality RR None Female 25 - 29
## 42 Omega3 Breast cancer RR None Female 25 - 29
## 43 Fish Depression RR None Female 25 - 29
## 44 Omega3 CHD2 mortality Relative Hill None Female 25 - 29
## 45 Fish All-cause mortality RR None Male 25 - 29
## 46 Omega3 Breast cancer RR None Male 25 - 29
## 47 Fish Depression RR None Male 25 - 29
## 48 Omega3 CHD2 mortality Relative Hill None Male 25 - 29
## 49 Fish All-cause mortality RR None Female 30 - 34
## 50 Omega3 Breast cancer RR None Female 30 - 34
## 51 Fish Depression RR None Female 30 - 34
## 52 Omega3 CHD2 mortality Relative Hill None Female 30 - 34
## 53 Fish All-cause mortality RR None Male 30 - 34
## 54 Omega3 Breast cancer RR None Male 30 - 34
## 55 Fish Depression RR None Male 30 - 34
## 56 Omega3 CHD2 mortality Relative Hill None Male 30 - 34
## 57 Fish All-cause mortality RR None Female 35 - 39
## 58 Omega3 Breast cancer RR None Female 35 - 39
## 59 Fish Depression RR None Female 35 - 39
## 60 Omega3 CHD2 mortality Relative Hill None Female 35 - 39
## 61 Fish All-cause mortality RR None Male 35 - 39
## 62 Omega3 Breast cancer RR None Male 35 - 39
## 63 Fish Depression RR None Male 35 - 39
## 64 Omega3 CHD2 mortality Relative Hill None Male 35 - 39
## 65 Fish All-cause mortality RR None Female 40 - 44
## 66 Omega3 Breast cancer RR None Female 40 - 44
## 67 Fish Depression RR None Female 40 - 44
## 68 Omega3 CHD2 mortality Relative Hill None Female 40 - 44
## 69 Fish All-cause mortality RR None Male 40 - 44
## 70 Omega3 Breast cancer RR None Male 40 - 44
## 71 Fish Depression RR None Male 40 - 44
## 72 Omega3 CHD2 mortality Relative Hill None Male 40 - 44
## 73 Fish All-cause mortality RR None Female 45 - 49
## 74 Omega3 Breast cancer RR None Female 45 - 49
## 75 Fish Depression RR None Female 45 - 49
## 76 Omega3 CHD2 mortality Relative Hill None Female 45 - 49
## 77 Fish All-cause mortality RR None Male 45 - 49
## 78 Omega3 Breast cancer RR None Male 45 - 49
## 79 Fish Depression RR None Male 45 - 49
## 80 Omega3 CHD2 mortality Relative Hill None Male 45 - 49
## 81 Fish All-cause mortality RR None Female 50 - 54
## 82 Omega3 Breast cancer RR None Female 50 - 54
## 83 Fish Depression RR None Female 50 - 54
## 84 Omega3 CHD2 mortality Relative Hill None Female 50 - 54
## 85 Fish All-cause mortality RR None Male 50 - 54
## 86 Omega3 Breast cancer RR None Male 50 - 54
## 87 Fish Depression RR None Male 50 - 54
## 88 Omega3 CHD2 mortality Relative Hill None Male 50 - 54
## 89 Fish All-cause mortality RR None Female 55 - 59
## 90 Omega3 Breast cancer RR None Female 55 - 59
## 91 Fish Depression RR None Female 55 - 59
## 92 Omega3 CHD2 mortality Relative Hill None Female 55 - 59
## 93 Fish All-cause mortality RR None Male 55 - 59
## 94 Omega3 Breast cancer RR None Male 55 - 59
## 95 Fish Depression RR None Male 55 - 59
## 96 Omega3 CHD2 mortality Relative Hill None Male 55 - 59
## 97 Fish All-cause mortality RR None Female 60 - 64
## 98 Omega3 Breast cancer RR None Female 60 - 64
## 99 Fish Depression RR None Female 60 - 64
## 100 Omega3 CHD2 mortality Relative Hill None Female 60 - 64
## 101 Fish All-cause mortality RR None Male 60 - 64
## 102 Omega3 Breast cancer RR None Male 60 - 64
## 103 Fish Depression RR None Male 60 - 64
## 104 Omega3 CHD2 mortality Relative Hill None Male 60 - 64
## 105 Fish All-cause mortality RR None Female 65 - 69
## 106 Omega3 Breast cancer RR None Female 65 - 69
## 107 Fish Depression RR None Female 65 - 69
## 108 Omega3 CHD2 mortality Relative Hill None Female 65 - 69
## 109 Fish All-cause mortality RR None Male 65 - 69
## 110 Omega3 Breast cancer RR None Male 65 - 69
## 111 Fish Depression RR None Male 65 - 69
## 112 Omega3 CHD2 mortality Relative Hill None Male 65 - 69
## 113 Fish All-cause mortality RR None Female 70 - 74
## 114 Omega3 Breast cancer RR None Female 70 - 74
## 115 Fish Depression RR None Female 70 - 74
## 116 Omega3 CHD2 mortality Relative Hill None Female 70 - 74
## 117 Fish All-cause mortality RR None Male 70 - 74
## 118 Omega3 Breast cancer RR None Male 70 - 74
## 119 Fish Depression RR None Male 70 - 74
## 120 Omega3 CHD2 mortality Relative Hill None Male 70 - 74
## 121 Fish All-cause mortality RR None Female 75 - 79
## 122 Omega3 Breast cancer RR None Female 75 - 79
## 123 Fish Depression RR None Female 75 - 79
## 124 Omega3 CHD2 mortality Relative Hill None Female 75 - 79
## 125 Fish All-cause mortality RR None Male 75 - 79
## 126 Omega3 Breast cancer RR None Male 75 - 79
## 127 Fish Depression RR None Male 75 - 79
## 128 Omega3 CHD2 mortality Relative Hill None Male 75 - 79
## 129 Fish All-cause mortality RR None Female 80 - 84
## 130 Omega3 Breast cancer RR None Female 80 - 84
## 131 Fish Depression RR None Female 80 - 84
## 132 Omega3 CHD2 mortality Relative Hill None Female 80 - 84
## 133 Fish All-cause mortality RR None Male 80 - 84
## 134 Omega3 Breast cancer RR None Male 80 - 84
## 135 Fish Depression RR None Male 80 - 84
## 136 Omega3 CHD2 mortality Relative Hill None Male 80 - 84
## 137 Fish All-cause mortality RR None Female 85+
## 138 Omega3 Breast cancer RR None Female 85+
## 139 Fish Depression RR None Female 85+
## 140 Omega3 CHD2 mortality Relative Hill None Female 85+
## 141 Fish All-cause mortality RR None Male 85+
## 142 Omega3 Breast cancer RR None Male 85+
## 143 Fish Depression RR None Male 85+
## 144 Omega3 CHD2 mortality Relative Hill None Male 85+
## Exposure mean
## 1 Direct 0.9879627
## 2 Direct 0.9324418
## 3 Direct 0.9709743
## 4 Direct 0.8918143
## 5 Direct 0.9838467
## 6 Direct 0.9104266
## 7 Direct 0.9615370
## 8 Direct 0.8827567
## 9 Direct 0.9646142
## 10 Direct 0.8884120
## 11 Direct 0.9174749
## 12 Direct 0.8809048
## 13 Direct 0.9530896
## 14 Direct 0.8563940
## 15 Direct 0.8936439
## 16 Direct 0.8729338
## 17 Direct 0.9638281
## 18 Direct 0.8714502
## 19 Direct 0.9156829
## 20 Direct 0.8765057
## 21 Direct 0.9518687
## 22 Direct 0.8367223
## 23 Direct 0.8902337
## 24 Direct 0.8697100
## 25 Direct 0.9638281
## 26 Direct 0.8714502
## 27 Direct 0.9156829
## 28 Direct 0.8765057
## 29 Direct 0.9518687
## 30 Direct 0.8367223
## 31 Direct 0.8902337
## 32 Direct 0.8697100
## 33 Direct 0.9466070
## 34 Direct 0.8437245
## 35 Direct 0.8851684
## 36 Direct 0.8831019
## 37 Direct 0.9303873
## 38 Direct 0.8078619
## 39 Direct 0.8564131
## 40 Direct 0.8752918
## 41 Direct 0.9466070
## 42 Direct 0.8437245
## 43 Direct 0.8851684
## 44 Direct 0.8831019
## 45 Direct 0.9303873
## 46 Direct 0.8078619
## 47 Direct 0.8564131
## 48 Direct 0.8752918
## 49 Direct 0.9466070
## 50 Direct 0.8437245
## 51 Direct 0.8851684
## 52 Direct 0.8831019
## 53 Direct 0.9303873
## 54 Direct 0.8078619
## 55 Direct 0.8564131
## 56 Direct 0.8752918
## 57 Direct 0.9466070
## 58 Direct 0.8437245
## 59 Direct 0.8851684
## 60 Direct 0.8831019
## 61 Direct 0.9303873
## 62 Direct 0.8078619
## 63 Direct 0.8564131
## 64 Direct 0.8752918
## 65 Direct 0.9466070
## 66 Direct 0.8437245
## 67 Direct 0.8851684
## 68 Direct 0.8831019
## 69 Direct 0.9303873
## 70 Direct 0.8078619
## 71 Direct 0.8564131
## 72 Direct 0.8752918
## 73 Direct 0.9466070
## 74 Direct 0.8437245
## 75 Direct 0.8851684
## 76 Direct 0.8831019
## 77 Direct 0.9303873
## 78 Direct 0.8078619
## 79 Direct 0.8564131
## 80 Direct 0.8752918
## 81 Direct 0.9466070
## 82 Direct 0.8437245
## 83 Direct 0.8851684
## 84 Direct 0.8831019
## 85 Direct 0.9303873
## 86 Direct 0.8078619
## 87 Direct 0.8564131
## 88 Direct 0.8752918
## 89 Direct 0.9466070
## 90 Direct 0.8437245
## 91 Direct 0.8851684
## 92 Direct 0.8831019
## 93 Direct 0.9303873
## 94 Direct 0.8078619
## 95 Direct 0.8564131
## 96 Direct 0.8752918
## 97 Direct 0.9466070
## 98 Direct 0.8437245
## 99 Direct 0.8851684
## 100 Direct 0.8831019
## 101 Direct 0.9303873
## 102 Direct 0.8078619
## 103 Direct 0.8564131
## 104 Direct 0.8752918
## 105 Direct 0.9333288
## 106 Direct 0.8075121
## 107 Direct 0.8576020
## 108 Direct 0.8798932
## 109 Direct 0.9137454
## 110 Direct 0.7677808
## 111 Direct 0.8250577
## 112 Direct 0.8736758
## 113 Direct 0.9333288
## 114 Direct 0.8075121
## 115 Direct 0.8576020
## 116 Direct 0.8798932
## 117 Direct 0.9137454
## 118 Direct 0.7677808
## 119 Direct 0.8250577
## 120 Direct 0.8736758
## 121 Direct 0.9333288
## 122 Direct 0.8075121
## 123 Direct 0.8576020
## 124 Direct 0.8798932
## 125 Direct 0.9137454
## 126 Direct 0.7677808
## 127 Direct 0.8250577
## 128 Direct 0.8736758
## 129 Direct 0.9333288
## 130 Direct 0.8075121
## 131 Direct 0.8576020
## 132 Direct 0.8798932
## 133 Direct 0.9137454
## 134 Direct 0.7677808
## 135 Direct 0.8250577
## 136 Direct 0.8736758
## 137 Direct 0.9333288
## 138 Direct 0.8075121
## 139 Direct 0.8576020
## 140 Direct 0.8798932
## 141 Direct 0.9137454
## 142 Direct 0.7677808
## 143 Direct 0.8250577
## 144 Direct 0.8736758###################
# Graphs
ggplot(trim(amount), aes(x=Group, weight=amountResult, fill=Fish))+geom_bar()+
facet_wrap(~Gender)+
labs(
title="Kalansyönti Suomessa ikäryhmittäin",
y="Syönti (g/d)"
)
ggsave("Kalansyönti Suomessa ikäryhmittäin.svg")## Saving 7 x 5 in imageplot_ly(trim(EvalOutput(total_amount)), x=~Kala, y=~total_amountResult, color=~Kala, type="bar") %>%
layout(yaxis=list(title="Kalan kokonaiskulutus Suomessa (milj kg /a)"), barmode="stack")## Warning: `arrange_()` is deprecated as of dplyr 0.7.0.
## Please use `arrange()` instead.
## See vignette('programming') for more help
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_warnings()` to see where this warning was generated.plot_ly(trim(conc_vit), x=~Nutrient, y=~conc_vitResult, color=~Kala, type="scatter", mode="markers") %>%
layout(yaxis=list(title="Concentrations of nutrients (mg or ug /g)"))## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colorsggplot(conc_mehg@output, aes(x=conc_mehgResult, colour=Area))+stat_ecdf()+
scale_x_log10()+facet_wrap(~Fish, scales="free_x")
ggplot(trim(conc_pfas), aes(x=Fish, y=conc_pfasResult))+geom_point()+ # Inputed data for missing species.
coord_flip()
ggplot(conc_pfas@output, aes(x=conc_pfasResult, color=Compound, linetype=Area))+stat_ecdf()+
scale_x_log10()+
stat_ecdf(data=conc_eukalat@output, aes(x=conc_eukalatResult))+
scale_linetype_manual(values=c("dotted","solid","twodash"))+
labs(
title="PFAS concentration in fishes in Finland",
x="PFAS concentration (ng/g fresh weight)",
y="Cumulative probability"
)## Warning in self$trans$transform(x): NaNs produced## Warning: Transformation introduced infinite values in continuous x-axis## Warning: Removed 27 rows containing non-finite values (stat_ecdf).
# The code may produce some negative values, which are removed from the graph
ggsave("PFAS-pitoisuus kalassa Suomessa.svg")## Saving 7 x 5 in image## Warning in self$trans$transform(x): NaNs produced## Warning: Transformation introduced infinite values in continuous x-axis## Warning: Removed 27 rows containing non-finite values (stat_ecdf).ggplot(conc@output, aes(x=concResult, colour=Fish))+stat_ecdf()+
facet_wrap(~Compound, scales="free_x")
#ggplot(oapply(expo_dir, cols=c("Iter"),FUN=mean)@output,
# aes(x=Gender, weight=expo_dirResult,fill=Fish))+geom_bar()+
# facet_wrap(~Compound, scales="free_y")+
# labs(title="Eri yhdisteiden saanti kalasta")
#ggsave("Yhdisteiden saanti kalasta Suomessa.svg")
plot_ly(trim(oapply(exposure,NULL,mean,"Gender")), x=~Age, y=~exposureResult, color=~Exposure_agent, text=~Exposure_agent, type="bar") %>%
layout(yaxis=list(title="Exposure to nutrients (g or ug /d)"))## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colorsggplot(trim(oapply(exposure,NULL,mean,"Gender")), aes(x=Age, weight=exposureResult))+geom_bar()+
facet_wrap(~Exposure_agent, scales="free_y")+
labs(
title="Exposure to compounds",
y="(omega: mg/d; vit D: ug/d, PFAS: ng/d)"
)
cat("Kalaperäisiä tautitaakkoja Suomessa\n")## Kalaperäisiä tautitaakkoja Suomessaif(openv$N>1) {
tmp <- summary(oapply(BoDattr,NULL,sum,c("Age","Gender","Response")))
tmp <- data.frame(
Altiste = tmp$Exposure_agent,
# Vaikutus = tmp$Response,
Keskiarvo = as.character(signif(tmp$mean,2)),
"95 luottamusväli" = paste0(signif(tmp$Q0.025,2)," - ", signif(tmp$Q0.975,2)),
Keskihajonta = signif(tmp$sd,2)
)#[rev(match(lev, tmp$Exposure_agent)),]
oprint(tmp)
tmp <- summary(oapply(BoDattr,NULL,sum,c("Age","Gender","Exposure_agent")))
tmp <- data.frame(
Terveysvaikutus = tmp$Response,
Keskiarvo = signif(tmp$mean,2),
"95 luottamusväli" = paste0(signif(tmp$Q0.025,2)," - ", signif(tmp$Q0.975,2)),
Keskihajonta = signif(tmp$sd,2)
)
oprint(tmp)
}## Altiste Keskiarvo X95.luottamusväli Keskihajonta
## 1 DHA -500 -1900 - -77 450
## 2 Fish -68000 -260000 - -30 76000
## 3 MeHg 540 0 - 4800 1400
## 4 Omega3 -46000 -83000 - -16000 18000
## 5 PFAS 3000 0 - 24000 6100
## 6 TEQ 7600 0 - 38000 12000
## 7 Vitamin D 10000 440 - 48000 13000
## Terveysvaikutus Keskiarvo
## 1 All-cause mortality -62000
## 2 Breast cancer -4200
## 3 Cancer morbidity yearly 3400
## 4 CHD2 mortality -42000
## 5 Depression -5800
## 6 Dioxin recommendation tolerable daily intake 2018 3000
## 7 Immunosuppression 11
## 8 Loss in child's IQ points 47
## 9 PFAS TWI 3000
## 10 Sperm concentration 730
## 11 Vitamin D recommendation 10000
## 12 Yes or no dental defect 450
## X95.luottamusväli Keskihajonta
## 1 -250000 - -25 72000
## 2 -14000 - 14 4100
## 3 0 - 23000 8600
## 4 -73000 - -16000 15000
## 5 -22000 - 0 6300
## 6 0 - 21000 5900
## 7 0 - 59 17
## 8 -800 - 3200 1100
## 9 0 - 24000 6100
## 10 -11 - 6200 1800
## 11 440 - 48000 13000
## 12 0 - 3700 1000ggplot(trim(BoDattr), aes(x=Exposure_agent, weight=BoDattrResult, fill=Response))+geom_bar()
ggplot(trim(BoDattr), aes(x=Response, weight=BoDattrResult, fill=Exposure_agent))+geom_bar()
ggplot(trim(BoDattr), aes(x=Age, weight=BoDattrResult, fill=Response))+geom_bar(position="stack")+
scale_x_discrete(breaks = levels(ages)[seq(1,length(ages),3)])
ggplot(trim(BoDattr), aes(x=Age, weight=BoDattrResult, fill=Response))+geom_bar(position="stack")+
scale_x_discrete(breaks = levels(ages)[seq(1,length(ages),3)])+
coord_cartesian(ylim=c(-2000,2000))
plot_ly(trim(BoDattr), x=~Age, y=~BoDattrResult, color=~Response, text=~paste(Age, Exposure_agent, sep=": "), type="bar") %>%
layout(yaxis=list(title="Disease burden (DALY /a); CHD2=coronary heart disease"), barmode="stack")## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colorsplot_ly(trim(BoDattr), x=~Exposure_agent, y=~BoDattrResult, color=~Response, text=~paste(Age, Exposure_agent, sep=": "), type="bar") %>%
layout(yaxis=list(title="Disease burden (DALY /a); CHD2=coronary heart disease"), barmode="stack")## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors
## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors################ Insight network
#gr <- scrape(type="assessment")
#objects.latest("Op_en3861", "makeGraph") # [[Insight network]]
#gr <- makeGraph(gr)
#export_graph(gr, "ruori.svg")
#render_graph(gr) # Does not work: Error in generate_dot(graph) : object 'attribute' not found
##################### Diagnostics
objects.latest("Op_en6007", code_name="diagnostics")## Loading objects:
## showind
## binoptest
## showLoctable
## ovashapetestshowLoctable()showind()## Hg is not an ovariable.
## subgrouping is not an ovariable.
## mc2d is not an ovariable.
## sumExposcen is not an ovariable.
## mc2d is not an ovariable.
## mc2dparam is not an ovariable.
## TEFversion is not an ovariable.# Run all above